id	sid	tid	token	lemma	pos
ajst-31217	1	1	academic	academic	ADJ
ajst-31217	1	2	journal	journal	NOUN
ajst-31217	1	3	of	of	ADP
ajst-31217	1	4	science	science	NOUN
ajst-31217	1	5	and	and	CCONJ
ajst-31217	1	6	technology	technology	NOUN
ajst-31217	1	7	issn	issn	NOUN
ajst-31217	1	8	:	:	PUNCT
ajst-31217	1	9	2771	2771	NUM
ajst-31217	1	10	-	-	SYM
ajst-31217	1	11	3032	3032	NUM
ajst-31217	1	12	|	|	NOUN
ajst-31217	1	13	vol	vol	NOUN
ajst-31217	1	14	.	.	PROPN
ajst-31217	1	15	15	15	NUM
ajst-31217	1	16	,	,	PUNCT
ajst-31217	1	17	no	no	INTJ
ajst-31217	1	18	.	.	NOUN
ajst-31217	1	19	3	3	NUM
ajst-31217	1	20	,	,	PUNCT
ajst-31217	1	21	2025	2025	NUM
ajst-31217	1	22	86	86	NUM
ajst-31217	1	23	a	a	DET
ajst-31217	1	24	study	study	NOUN
ajst-31217	1	25	of	of	ADP
ajst-31217	1	26	a	a	DET
ajst-31217	1	27	prediction	prediction	NOUN
ajst-31217	1	28	framework	framework	NOUN
ajst-31217	1	29	incorporating	incorporate	VERB
ajst-31217	1	30	random	random	ADJ
ajst-31217	1	31	forests	forest	NOUN
ajst-31217	1	32	and	and	CCONJ
ajst-31217	1	33	gradient	gradient	NOUN
ajst-31217	1	34	boosting	boost	VERB
ajst-31217	1	35	trees	tree	NOUN
ajst-31217	1	36	yining	yine	VERB
ajst-31217	1	37	zhang1	zhang1	PROPN
ajst-31217	1	38	,	,	PUNCT
ajst-31217	1	39	*	*	PUNCT
ajst-31217	1	40	,	,	PUNCT
ajst-31217	1	41	yimeng	yimeng	PROPN
ajst-31217	1	42	wang2	wang2	PROPN
ajst-31217	2	1	1guangdong	1guangdong	PROPN
ajst-31217	2	2	university	university	NOUN
ajst-31217	2	3	of	of	ADP
ajst-31217	2	4	foreign	foreign	ADJ
ajst-31217	2	5	studies	study	NOUN
ajst-31217	2	6	,	,	PUNCT
ajst-31217	2	7	guangzhou	guangzhou	PROPN
ajst-31217	2	8	,	,	PUNCT
ajst-31217	2	9	china	china	PROPN
ajst-31217	2	10	2macao	2macao	PROPN
ajst-31217	2	11	polytechnic	polytechnic	PROPN
ajst-31217	2	12	university	university	PROPN
ajst-31217	2	13	,	,	PUNCT
ajst-31217	2	14	macao	macao	PROPN
ajst-31217	2	15	,	,	PUNCT
ajst-31217	2	16	china	china	PROPN
ajst-31217	2	17	*	*	PUNCT
ajst-31217	2	18	corresponding	correspond	VERB
ajst-31217	2	19	author	author	NOUN
ajst-31217	2	20	:	:	PUNCT
ajst-31217	2	21	1455862781@qq.com	1455862781@qq.com	NUM
ajst-31217	2	22	abstract	abstract	NOUN
ajst-31217	2	23	:	:	PUNCT
ajst-31217	2	24	this	this	DET
ajst-31217	2	25	study	study	NOUN
ajst-31217	2	26	constructs	construct	VERB
ajst-31217	2	27	a	a	DET
ajst-31217	2	28	hybrid	hybrid	ADJ
ajst-31217	2	29	prediction	prediction	NOUN
ajst-31217	2	30	framework	framework	NOUN
ajst-31217	2	31	integrating	integrate	VERB
ajst-31217	2	32	random	random	ADJ
ajst-31217	2	33	forest	forest	NOUN
ajst-31217	2	34	regression	regression	NOUN
ajst-31217	2	35	and	and	CCONJ
ajst-31217	2	36	gradient	gradient	NOUN
ajst-31217	2	37	boosting	boost	VERB
ajst-31217	2	38	tree	tree	NOUN
ajst-31217	2	39	.	.	PUNCT
ajst-31217	3	1	firstly	firstly	ADV
ajst-31217	3	2	,	,	PUNCT
ajst-31217	3	3	the	the	DET
ajst-31217	3	4	study	study	NOUN
ajst-31217	3	5	uses	use	VERB
ajst-31217	3	6	random	random	ADJ
ajst-31217	3	7	forest	forest	NOUN
ajst-31217	3	8	regression	regression	NOUN
ajst-31217	3	9	to	to	PART
ajst-31217	3	10	mine	mine	VERB
ajst-31217	3	11	the	the	DET
ajst-31217	3	12	nonlinear	nonlinear	ADJ
ajst-31217	3	13	associations	association	NOUN
ajst-31217	3	14	between	between	ADP
ajst-31217	3	15	multidimensional	multidimensional	ADJ
ajst-31217	3	16	features	feature	NOUN
ajst-31217	3	17	through	through	ADP
ajst-31217	3	18	self	self	NOUN
ajst-31217	3	19	-	-	PUNCT
ajst-31217	3	20	sampling	sample	VERB
ajst-31217	3	21	and	and	CCONJ
ajst-31217	3	22	feature	feature	VERB
ajst-31217	3	23	random	random	ADJ
ajst-31217	3	24	selection	selection	NOUN
ajst-31217	3	25	mechanisms	mechanism	NOUN
ajst-31217	3	26	to	to	PART
ajst-31217	3	27	achieve	achieve	VERB
ajst-31217	3	28	the	the	DET
ajst-31217	3	29	classification	classification	NOUN
ajst-31217	3	30	and	and	CCONJ
ajst-31217	3	31	regression	regression	NOUN
ajst-31217	3	32	tasks	task	NOUN
ajst-31217	3	33	,	,	PUNCT
ajst-31217	3	34	and	and	CCONJ
ajst-31217	3	35	builds	build	VERB
ajst-31217	3	36	in	in	ADP
ajst-31217	3	37	feature	feature	NOUN
ajst-31217	3	38	importance	importance	NOUN
ajst-31217	3	39	analysis	analysis	NOUN
ajst-31217	3	40	to	to	PART
ajst-31217	3	41	assess	assess	VERB
ajst-31217	3	42	feature	feature	NOUN
ajst-31217	3	43	contributions	contribution	NOUN
ajst-31217	3	44	.	.	PUNCT
ajst-31217	4	1	second	second	ADJ
ajst-31217	4	2	,	,	PUNCT
ajst-31217	4	3	logistic	logistic	ADJ
ajst-31217	4	4	regression	regression	NOUN
ajst-31217	4	5	and	and	CCONJ
ajst-31217	4	6	linear	linear	ADJ
ajst-31217	4	7	regression	regression	NOUN
ajst-31217	4	8	are	be	AUX
ajst-31217	4	9	used	use	VERB
ajst-31217	4	10	to	to	PART
ajst-31217	4	11	provide	provide	VERB
ajst-31217	4	12	statistical	statistical	ADJ
ajst-31217	4	13	explanations	explanation	NOUN
ajst-31217	4	14	for	for	ADP
ajst-31217	4	15	binary	binary	ADJ
ajst-31217	4	16	classification	classification	NOUN
ajst-31217	4	17	problems	problem	NOUN
ajst-31217	4	18	and	and	CCONJ
ajst-31217	4	19	multivariate	multivariate	NOUN
ajst-31217	4	20	interactions	interaction	NOUN
ajst-31217	4	21	,	,	PUNCT
ajst-31217	4	22	respectively	respectively	ADV
ajst-31217	4	23	,	,	PUNCT
ajst-31217	4	24	to	to	PART
ajst-31217	4	25	enhance	enhance	VERB
ajst-31217	4	26	the	the	DET
ajst-31217	4	27	interpretability	interpretability	NOUN
ajst-31217	4	28	of	of	ADP
ajst-31217	4	29	the	the	DET
ajst-31217	4	30	model	model	NOUN
ajst-31217	4	31	.	.	PUNCT
ajst-31217	5	1	in	in	ADP
ajst-31217	5	2	addition	addition	NOUN
ajst-31217	5	3	,	,	PUNCT
ajst-31217	5	4	this	this	DET
ajst-31217	5	5	study	study	NOUN
ajst-31217	5	6	constructs	construct	VERB
ajst-31217	5	7	a	a	DET
ajst-31217	5	8	gradient	gradient	NOUN
ajst-31217	5	9	boosting	boost	VERB
ajst-31217	5	10	tree	tree	NOUN
ajst-31217	5	11	model	model	NOUN
ajst-31217	5	12	and	and	CCONJ
ajst-31217	5	13	combines	combine	VERB
ajst-31217	5	14	it	it	PRON
ajst-31217	5	15	with	with	ADP
ajst-31217	5	16	shap	shap	PROPN
ajst-31217	5	17	value	value	NOUN
ajst-31217	5	18	analysis	analysis	NOUN
ajst-31217	5	19	,	,	PUNCT
ajst-31217	5	20	iterative	iterative	NOUN
ajst-31217	5	21	fitting	fitting	ADJ
ajst-31217	5	22	of	of	ADP
ajst-31217	5	23	residuals	residual	NOUN
ajst-31217	5	24	to	to	PART
ajst-31217	5	25	improve	improve	VERB
ajst-31217	5	26	prediction	prediction	NOUN
ajst-31217	5	27	accuracy	accuracy	NOUN
ajst-31217	5	28	,	,	PUNCT
ajst-31217	5	29	and	and	CCONJ
ajst-31217	5	30	hyperparameter	hyperparameter	NOUN
ajst-31217	5	31	tuning	tune	VERB
ajst-31217	5	32	to	to	PART
ajst-31217	5	33	further	far	ADV
ajst-31217	5	34	optimise	optimise	ADJ
ajst-31217	5	35	model	model	NOUN
ajst-31217	5	36	performance	performance	NOUN
ajst-31217	5	37	.	.	PUNCT
ajst-31217	6	1	this	this	DET
ajst-31217	6	2	framework	framework	NOUN
ajst-31217	6	3	enhances	enhance	VERB
ajst-31217	6	4	the	the	DET
ajst-31217	6	5	analysis	analysis	NOUN
ajst-31217	6	6	and	and	CCONJ
ajst-31217	6	7	prediction	prediction	NOUN
ajst-31217	6	8	ability	ability	NOUN
ajst-31217	6	9	of	of	ADP
ajst-31217	6	10	multivariate	multivariate	NOUN
ajst-31217	6	11	system	system	NOUN
ajst-31217	6	12	data	datum	NOUN
ajst-31217	6	13	through	through	ADP
ajst-31217	6	14	multi	multi	ADJ
ajst-31217	6	15	-	-	ADJ
ajst-31217	6	16	model	model	ADJ
ajst-31217	6	17	collaboration	collaboration	NOUN
ajst-31217	6	18	,	,	PUNCT
ajst-31217	6	19	demonstrates	demonstrate	VERB
ajst-31217	6	20	good	good	ADJ
ajst-31217	6	21	stability	stability	NOUN
ajst-31217	6	22	and	and	CCONJ
ajst-31217	6	23	generalisation	generalisation	NOUN
ajst-31217	6	24	ability	ability	NOUN
ajst-31217	6	25	,	,	PUNCT
ajst-31217	6	26	and	and	CCONJ
ajst-31217	6	27	provides	provide	VERB
ajst-31217	6	28	a	a	DET
ajst-31217	6	29	reusable	reusable	ADJ
ajst-31217	6	30	technical	technical	ADJ
ajst-31217	6	31	paradigm	paradigm	NOUN
ajst-31217	6	32	for	for	ADP
ajst-31217	6	33	similar	similar	ADJ
ajst-31217	6	34	studies	study	NOUN
ajst-31217	6	35	.	.	PUNCT
ajst-31217	7	1	keywords	keyword	NOUN
ajst-31217	7	2	:	:	PUNCT
ajst-31217	7	3	random	random	ADJ
ajst-31217	7	4	forest	forest	NOUN
ajst-31217	7	5	model	model	NOUN
ajst-31217	7	6	,	,	PUNCT
ajst-31217	7	7	regression	regression	NOUN
ajst-31217	7	8	model	model	NOUN
ajst-31217	7	9	,	,	PUNCT
ajst-31217	7	10	gradient	gradient	ADJ
ajst-31217	7	11	boosting	boost	VERB
ajst-31217	7	12	trees	tree	NOUN
ajst-31217	7	13	model	model	NOUN
ajst-31217	7	14	,	,	PUNCT
ajst-31217	7	15	shap	shap	PROPN
ajst-31217	7	16	model	model	PROPN
ajst-31217	7	17	.	.	PUNCT
ajst-31217	8	1	1	1	X
ajst-31217	8	2	.	.	X
ajst-31217	8	3	introduction	introduction	NOUN
ajst-31217	8	4	in	in	ADP
ajst-31217	8	5	multivariate	multivariate	NOUN
ajst-31217	8	6	system	system	NOUN
ajst-31217	8	7	analysis	analysis	NOUN
ajst-31217	8	8	,	,	PUNCT
ajst-31217	8	9	it	it	PRON
ajst-31217	8	10	is	be	AUX
ajst-31217	8	11	difficult	difficult	ADJ
ajst-31217	8	12	for	for	SCONJ
ajst-31217	8	13	a	a	DET
ajst-31217	8	14	single	single	ADJ
ajst-31217	8	15	algorithm	algorithm	NOUN
ajst-31217	8	16	to	to	PART
ajst-31217	8	17	take	take	VERB
ajst-31217	8	18	into	into	ADP
ajst-31217	8	19	account	account	NOUN
ajst-31217	8	20	the	the	DET
ajst-31217	8	21	nonlinear	nonlinear	ADJ
ajst-31217	8	22	modelling	modelling	NOUN
ajst-31217	8	23	and	and	CCONJ
ajst-31217	8	24	interpretability	interpretability	NOUN
ajst-31217	8	25	needs	need	NOUN
ajst-31217	8	26	of	of	ADP
ajst-31217	8	27	complex	complex	ADJ
ajst-31217	8	28	features	feature	NOUN
ajst-31217	8	29	.	.	PUNCT
ajst-31217	9	1	with	with	ADP
ajst-31217	9	2	the	the	DET
ajst-31217	9	3	continuous	continuous	ADJ
ajst-31217	9	4	increase	increase	NOUN
ajst-31217	9	5	of	of	ADP
ajst-31217	9	6	data	datum	NOUN
ajst-31217	9	7	dimensions	dimension	NOUN
ajst-31217	9	8	,	,	PUNCT
ajst-31217	9	9	how	how	SCONJ
ajst-31217	9	10	to	to	PART
ajst-31217	9	11	efficiently	efficiently	ADV
ajst-31217	9	12	mine	mine	VERB
ajst-31217	9	13	the	the	DET
ajst-31217	9	14	potential	potential	ADJ
ajst-31217	9	15	associations	association	NOUN
ajst-31217	9	16	among	among	ADP
ajst-31217	9	17	features	feature	NOUN
ajst-31217	9	18	and	and	CCONJ
ajst-31217	9	19	improve	improve	VERB
ajst-31217	9	20	the	the	DET
ajst-31217	9	21	generalisation	generalisation	NOUN
ajst-31217	9	22	ability	ability	NOUN
ajst-31217	9	23	of	of	ADP
ajst-31217	9	24	prediction	prediction	NOUN
ajst-31217	9	25	models	model	NOUN
ajst-31217	9	26	becomes	become	VERB
ajst-31217	9	27	a	a	DET
ajst-31217	9	28	research	research	NOUN
ajst-31217	9	29	challenge	challenge	NOUN
ajst-31217	9	30	.	.	PUNCT
ajst-31217	10	1	focusing	focus	VERB
ajst-31217	10	2	on	on	ADP
ajst-31217	10	3	the	the	DET
ajst-31217	10	4	modelling	modelling	NOUN
ajst-31217	10	5	challenges	challenge	NOUN
ajst-31217	10	6	of	of	ADP
ajst-31217	10	7	multivariate	multivariate	NOUN
ajst-31217	10	8	systems	system	NOUN
ajst-31217	10	9	,	,	PUNCT
ajst-31217	10	10	this	this	DET
ajst-31217	10	11	study	study	NOUN
ajst-31217	10	12	proposes	propose	VERB
ajst-31217	10	13	a	a	DET
ajst-31217	10	14	hybrid	hybrid	ADJ
ajst-31217	10	15	prediction	prediction	NOUN
ajst-31217	10	16	framework	framework	NOUN
ajst-31217	10	17	integrating	integrate	VERB
ajst-31217	10	18	random	random	ADJ
ajst-31217	10	19	forest	forest	NOUN
ajst-31217	10	20	regression	regression	NOUN
ajst-31217	10	21	and	and	CCONJ
ajst-31217	10	22	gradient	gradient	NOUN
ajst-31217	10	23	boosting	boost	VERB
ajst-31217	10	24	tree	tree	NOUN
ajst-31217	10	25	,	,	PUNCT
ajst-31217	10	26	aiming	aim	VERB
ajst-31217	10	27	to	to	PART
ajst-31217	10	28	break	break	VERB
ajst-31217	10	29	through	through	ADP
ajst-31217	10	30	the	the	DET
ajst-31217	10	31	limitations	limitation	NOUN
ajst-31217	10	32	of	of	ADP
ajst-31217	10	33	traditional	traditional	ADJ
ajst-31217	10	34	methods	method	NOUN
ajst-31217	10	35	through	through	ADP
ajst-31217	10	36	the	the	DET
ajst-31217	10	37	mechanism	mechanism	NOUN
ajst-31217	10	38	of	of	ADP
ajst-31217	10	39	multi	multi	ADJ
ajst-31217	10	40	-	-	ADJ
ajst-31217	10	41	model	model	ADJ
ajst-31217	10	42	synergy	synergy	NOUN
ajst-31217	11	1	[	[	X
ajst-31217	11	2	1	1	NUM
ajst-31217	11	3	]	]	PUNCT
ajst-31217	11	4	.	.	PUNCT
ajst-31217	12	1	firstly	firstly	ADV
ajst-31217	12	2	,	,	PUNCT
ajst-31217	12	3	the	the	DET
ajst-31217	12	4	study	study	NOUN
ajst-31217	12	5	systematically	systematically	ADV
ajst-31217	12	6	captures	capture	VERB
ajst-31217	12	7	the	the	DET
ajst-31217	12	8	nonlinear	nonlinear	ADJ
ajst-31217	12	9	associations	association	NOUN
ajst-31217	12	10	among	among	ADP
ajst-31217	12	11	multidimensional	multidimensional	ADJ
ajst-31217	12	12	features	feature	NOUN
ajst-31217	12	13	with	with	ADP
ajst-31217	12	14	the	the	DET
ajst-31217	12	15	help	help	NOUN
ajst-31217	12	16	of	of	ADP
ajst-31217	12	17	the	the	DET
ajst-31217	12	18	self	self	NOUN
ajst-31217	12	19	-	-	PUNCT
ajst-31217	12	20	sampling	sample	VERB
ajst-31217	12	21	and	and	CCONJ
ajst-31217	12	22	feature	feature	VERB
ajst-31217	12	23	random	random	ADJ
ajst-31217	12	24	selection	selection	NOUN
ajst-31217	12	25	mechanism	mechanism	NOUN
ajst-31217	12	26	of	of	ADP
ajst-31217	12	27	the	the	DET
ajst-31217	12	28	random	random	ADJ
ajst-31217	12	29	forest	forest	NOUN
ajst-31217	12	30	model	model	NOUN
ajst-31217	12	31	,	,	PUNCT
ajst-31217	12	32	so	so	SCONJ
ajst-31217	12	33	as	as	SCONJ
ajst-31217	12	34	to	to	PART
ajst-31217	12	35	realise	realise	VERB
ajst-31217	12	36	the	the	DET
ajst-31217	12	37	classification	classification	NOUN
ajst-31217	12	38	and	and	CCONJ
ajst-31217	12	39	regression	regression	NOUN
ajst-31217	12	40	tasks	task	NOUN
ajst-31217	12	41	of	of	ADP
ajst-31217	12	42	high	high	ADJ
ajst-31217	12	43	-	-	PUNCT
ajst-31217	12	44	dimensional	dimensional	ADJ
ajst-31217	12	45	data	datum	NOUN
ajst-31217	12	46	.	.	PUNCT
ajst-31217	13	1	secondly	secondly	ADV
ajst-31217	13	2	,	,	PUNCT
ajst-31217	13	3	the	the	DET
ajst-31217	13	4	logistic	logistic	ADJ
ajst-31217	13	5	regression	regression	NOUN
ajst-31217	13	6	model	model	NOUN
ajst-31217	13	7	is	be	AUX
ajst-31217	13	8	used	use	VERB
ajst-31217	13	9	to	to	PART
ajst-31217	13	10	complete	complete	VERB
ajst-31217	13	11	the	the	DET
ajst-31217	13	12	binary	binary	ADJ
ajst-31217	13	13	prediction	prediction	NOUN
ajst-31217	13	14	task	task	NOUN
ajst-31217	13	15	,	,	PUNCT
ajst-31217	13	16	and	and	CCONJ
ajst-31217	13	17	the	the	DET
ajst-31217	13	18	linear	linear	ADJ
ajst-31217	13	19	regression	regression	NOUN
ajst-31217	13	20	model	model	NOUN
ajst-31217	13	21	combined	combine	VERB
ajst-31217	13	22	with	with	ADP
ajst-31217	13	23	one	one	NUM
ajst-31217	13	24	-	-	PUNCT
ajst-31217	13	25	hot	hot	ADJ
ajst-31217	13	26	coding	coding	NOUN
ajst-31217	13	27	is	be	AUX
ajst-31217	13	28	used	use	VERB
ajst-31217	13	29	to	to	PART
ajst-31217	13	30	analyse	analyse	VERB
ajst-31217	13	31	the	the	DET
ajst-31217	13	32	effects	effect	NOUN
ajst-31217	13	33	of	of	ADP
ajst-31217	13	34	multivariate	multivariate	NOUN
ajst-31217	13	35	interactions	interaction	NOUN
ajst-31217	13	36	,	,	PUNCT
ajst-31217	13	37	quantify	quantify	VERB
ajst-31217	13	38	the	the	DET
ajst-31217	13	39	contribution	contribution	NOUN
ajst-31217	13	40	of	of	ADP
ajst-31217	13	41	each	each	DET
ajst-31217	13	42	feature	feature	NOUN
ajst-31217	13	43	to	to	ADP
ajst-31217	13	44	the	the	DET
ajst-31217	13	45	results	result	NOUN
ajst-31217	13	46	,	,	PUNCT
ajst-31217	13	47	and	and	CCONJ
ajst-31217	13	48	present	present	VERB
ajst-31217	13	49	the	the	DET
ajst-31217	13	50	effects	effect	NOUN
ajst-31217	13	51	of	of	ADP
ajst-31217	13	52	the	the	DET
ajst-31217	13	53	additional	additional	ADJ
ajst-31217	13	54	features	feature	NOUN
ajst-31217	13	55	and	and	CCONJ
ajst-31217	13	56	the	the	DET
ajst-31217	13	57	ranking	ranking	NOUN
ajst-31217	13	58	of	of	ADP
ajst-31217	13	59	regression	regression	NOUN
ajst-31217	13	60	coefficients	coefficient	NOUN
ajst-31217	13	61	through	through	ADP
ajst-31217	13	62	visualization	visualization	NOUN
ajst-31217	13	63	[	[	X
ajst-31217	13	64	2	2	NUM
ajst-31217	13	65	]	]	PUNCT
ajst-31217	13	66	.	.	PUNCT
ajst-31217	14	1	in	in	ADP
ajst-31217	14	2	addition	addition	NOUN
ajst-31217	14	3	,	,	PUNCT
ajst-31217	14	4	the	the	DET
ajst-31217	14	5	gradient	gradient	NOUN
ajst-31217	14	6	boosting	boost	VERB
ajst-31217	14	7	tree	tree	NOUN
ajst-31217	14	8	model	model	NOUN
ajst-31217	14	9	optimises	optimise	VERB
ajst-31217	14	10	the	the	DET
ajst-31217	14	11	prediction	prediction	NOUN
ajst-31217	14	12	accuracy	accuracy	NOUN
ajst-31217	14	13	by	by	ADP
ajst-31217	14	14	iterative	iterative	NOUN
ajst-31217	14	15	fitting	fitting	NOUN
ajst-31217	14	16	of	of	ADP
ajst-31217	14	17	residuals	residual	NOUN
ajst-31217	14	18	,	,	PUNCT
ajst-31217	14	19	and	and	CCONJ
ajst-31217	14	20	quantifies	quantify	VERB
ajst-31217	14	21	the	the	DET
ajst-31217	14	22	importance	importance	NOUN
ajst-31217	14	23	of	of	ADP
ajst-31217	14	24	features	feature	NOUN
ajst-31217	14	25	by	by	ADP
ajst-31217	14	26	combining	combine	VERB
ajst-31217	14	27	with	with	ADP
ajst-31217	14	28	shap	shap	PROPN
ajst-31217	14	29	value	value	NOUN
ajst-31217	14	30	analysis	analysis	NOUN
ajst-31217	14	31	to	to	PART
ajst-31217	14	32	further	far	ADV
ajst-31217	14	33	improve	improve	VERB
ajst-31217	14	34	prediction	prediction	NOUN
ajst-31217	14	35	accuracy	accuracy	NOUN
ajst-31217	14	36	and	and	CCONJ
ajst-31217	14	37	transparency	transparency	NOUN
ajst-31217	14	38	.	.	PUNCT
ajst-31217	15	1	this	this	DET
ajst-31217	15	2	framework	framework	NOUN
ajst-31217	15	3	provides	provide	VERB
ajst-31217	15	4	a	a	DET
ajst-31217	15	5	solution	solution	NOUN
ajst-31217	15	6	for	for	ADP
ajst-31217	15	7	multivariate	multivariate	NOUN
ajst-31217	15	8	system	system	NOUN
ajst-31217	15	9	prediction	prediction	NOUN
ajst-31217	15	10	and	and	CCONJ
ajst-31217	15	11	decision	decision	NOUN
ajst-31217	15	12	-	-	PUNCT
ajst-31217	15	13	making	making	NOUN
ajst-31217	15	14	with	with	ADP
ajst-31217	15	15	both	both	DET
ajst-31217	15	16	accuracy	accuracy	NOUN
ajst-31217	15	17	and	and	CCONJ
ajst-31217	15	18	interpretability	interpretability	NOUN
ajst-31217	15	19	[	[	X
ajst-31217	15	20	3	3	NUM
ajst-31217	15	21	]	]	PUNCT
ajst-31217	15	22	.	.	PUNCT
ajst-31217	16	1	2	2	X
ajst-31217	16	2	.	.	X
ajst-31217	16	3	medal	medal	ADJ
ajst-31217	16	4	count	count	NOUN
ajst-31217	16	5	predictions	prediction	NOUN
ajst-31217	16	6	by	by	ADP
ajst-31217	16	7	country	country	NOUN
ajst-31217	16	8	2.1	2.1	NUM
ajst-31217	16	9	.	.	PUNCT
ajst-31217	16	10	medal	medal	ADJ
ajst-31217	16	11	distribution	distribution	NOUN
ajst-31217	16	12	prediction	prediction	NOUN
ajst-31217	16	13	(	(	PUNCT
ajst-31217	16	14	1	1	NUM
ajst-31217	16	15	)	)	PUNCT
ajst-31217	16	16	feature	feature	NOUN
ajst-31217	16	17	selection	selection	NOUN
ajst-31217	16	18	the	the	DET
ajst-31217	16	19	prediction	prediction	NOUN
ajst-31217	16	20	is	be	AUX
ajst-31217	16	21	mainly	mainly	ADV
ajst-31217	16	22	based	base	VERB
ajst-31217	16	23	on	on	ADP
ajst-31217	16	24	the	the	DET
ajst-31217	16	25	following	follow	VERB
ajst-31217	16	26	aspects	aspect	NOUN
ajst-31217	16	27	,	,	PUNCT
ajst-31217	16	28	including	include	VERB
ajst-31217	16	29	the	the	DET
ajst-31217	16	30	trend	trend	NOUN
ajst-31217	16	31	of	of	ADP
ajst-31217	16	32	historical	historical	ADJ
ajst-31217	16	33	medal	medal	ADJ
ajst-31217	16	34	counts	count	NOUN
ajst-31217	16	35	,	,	PUNCT
ajst-31217	16	36	the	the	DET
ajst-31217	16	37	host	host	NOUN
ajst-31217	16	38	country	country	NOUN
ajst-31217	16	39	effect	effect	VERB
ajst-31217	16	40	,	,	PUNCT
ajst-31217	16	41	and	and	CCONJ
ajst-31217	16	42	the	the	DET
ajst-31217	16	43	number	number	NOUN
ajst-31217	16	44	of	of	ADP
ajst-31217	16	45	events	event	NOUN
ajst-31217	16	46	,	,	PUNCT
ajst-31217	16	47	so	so	SCONJ
ajst-31217	16	48	as	as	SCONJ
ajst-31217	16	49	to	to	PART
ajst-31217	16	50	provide	provide	VERB
ajst-31217	16	51	high	high	ADJ
ajst-31217	16	52	-	-	PUNCT
ajst-31217	16	53	quality	quality	NOUN
ajst-31217	16	54	input	input	NOUN
ajst-31217	16	55	variables	variable	NOUN
ajst-31217	16	56	for	for	ADP
ajst-31217	16	57	the	the	DET
ajst-31217	16	58	model	model	NOUN
ajst-31217	16	59	and	and	CCONJ
ajst-31217	16	60	improve	improve	VERB
ajst-31217	16	61	the	the	DET
ajst-31217	16	62	accuracy	accuracy	NOUN
ajst-31217	16	63	of	of	ADP
ajst-31217	16	64	prediction	prediction	NOUN
ajst-31217	16	65	.	.	PUNCT
ajst-31217	17	1	a	a	DET
ajst-31217	17	2	)	)	PUNCT
ajst-31217	17	3	historical	historical	ADJ
ajst-31217	17	4	performance	performance	NOUN
ajst-31217	17	5	analyze	analyze	VERB
ajst-31217	17	6	the	the	DET
ajst-31217	17	7	performance	performance	NOUN
ajst-31217	17	8	trend	trend	NOUN
ajst-31217	17	9	of	of	ADP
ajst-31217	17	10	each	each	DET
ajst-31217	17	11	country	country	NOUN
ajst-31217	17	12	in	in	ADP
ajst-31217	17	13	the	the	DET
ajst-31217	17	14	past	past	ADJ
ajst-31217	17	15	few	few	ADJ
ajst-31217	17	16	olympic	olympic	ADJ
ajst-31217	17	17	games	game	NOUN
ajst-31217	17	18	,	,	PUNCT
ajst-31217	17	19	such	such	ADJ
ajst-31217	17	20	as	as	ADP
ajst-31217	17	21	the	the	DET
ajst-31217	17	22	year	year	NOUN
ajst-31217	17	23	-	-	PUNCT
ajst-31217	17	24	on	on	ADP
ajst-31217	17	25	-	-	PUNCT
ajst-31217	17	26	year	year	NOUN
ajst-31217	17	27	change	change	NOUN
ajst-31217	17	28	in	in	ADP
ajst-31217	17	29	the	the	DET
ajst-31217	17	30	number	number	NOUN
ajst-31217	17	31	of	of	ADP
ajst-31217	17	32	medals	medal	NOUN
ajst-31217	17	33	.	.	PUNCT
ajst-31217	18	1	calculate	calculate	VERB
ajst-31217	18	2	the	the	DET
ajst-31217	18	3	average	average	ADJ
ajst-31217	18	4	number	number	NOUN
ajst-31217	18	5	of	of	ADP
ajst-31217	18	6	medals	medal	NOUN
ajst-31217	18	7	and	and	CCONJ
ajst-31217	18	8	the	the	DET
ajst-31217	18	9	total	total	ADJ
ajst-31217	18	10	number	number	NOUN
ajst-31217	18	11	of	of	ADP
ajst-31217	18	12	medals	medal	NOUN
ajst-31217	18	13	for	for	ADP
ajst-31217	18	14	each	each	DET
ajst-31217	18	15	country	country	NOUN
ajst-31217	18	16	over	over	ADP
ajst-31217	18	17	the	the	DET
ajst-31217	18	18	last	last	ADJ
ajst-31217	18	19	few	few	ADJ
ajst-31217	18	20	years	year	NOUN
ajst-31217	18	21	.	.	PUNCT
ajst-31217	19	1	b	b	X
ajst-31217	19	2	)	)	PUNCT
ajst-31217	19	3	host	host	NOUN
ajst-31217	19	4	country	country	NOUN
ajst-31217	19	5	effect	effect	NOUN
ajst-31217	19	6	host	host	NOUN
ajst-31217	19	7	countries	country	NOUN
ajst-31217	19	8	often	often	ADV
ajst-31217	19	9	have	have	VERB
ajst-31217	19	10	more	more	ADJ
ajst-31217	19	11	resources	resource	NOUN
ajst-31217	19	12	to	to	PART
ajst-31217	19	13	invest	invest	VERB
ajst-31217	19	14	in	in	ADP
ajst-31217	19	15	sports	sport	NOUN
ajst-31217	19	16	competitions	competition	NOUN
ajst-31217	19	17	and	and	CCONJ
ajst-31217	19	18	usually	usually	ADV
ajst-31217	19	19	have	have	VERB
ajst-31217	19	20	higher	high	ADJ
ajst-31217	19	21	medal	medal	ADJ
ajst-31217	19	22	counts	count	NOUN
ajst-31217	19	23	.	.	PUNCT
ajst-31217	20	1	c	c	X
ajst-31217	20	2	)	)	PUNCT
ajst-31217	20	3	number	number	NOUN
ajst-31217	20	4	of	of	ADP
ajst-31217	20	5	events	event	NOUN
ajst-31217	20	6	the	the	DET
ajst-31217	20	7	number	number	NOUN
ajst-31217	20	8	of	of	ADP
ajst-31217	20	9	medals	medal	NOUN
ajst-31217	20	10	is	be	AUX
ajst-31217	20	11	closely	closely	ADV
ajst-31217	20	12	related	relate	VERB
ajst-31217	20	13	to	to	ADP
ajst-31217	20	14	the	the	DET
ajst-31217	20	15	number	number	NOUN
ajst-31217	20	16	of	of	ADP
ajst-31217	20	17	events	event	NOUN
ajst-31217	20	18	participated	participate	VERB
ajst-31217	20	19	in	in	ADP
ajst-31217	20	20	.	.	PUNCT
ajst-31217	21	1	extract	extract	VERB
ajst-31217	21	2	the	the	DET
ajst-31217	21	3	number	number	NOUN
ajst-31217	21	4	and	and	CCONJ
ajst-31217	21	5	type	type	NOUN
ajst-31217	21	6	of	of	ADP
ajst-31217	21	7	events	event	NOUN
ajst-31217	21	8	participated	participate	VERB
ajst-31217	21	9	by	by	ADP
ajst-31217	21	10	each	each	DET
ajst-31217	21	11	country	country	NOUN
ajst-31217	21	12	as	as	ADP
ajst-31217	21	13	an	an	DET
ajst-31217	21	14	important	important	ADJ
ajst-31217	21	15	input	input	NOUN
ajst-31217	21	16	variable	variable	NOUN
ajst-31217	21	17	.	.	PUNCT
ajst-31217	22	1	(	(	PUNCT
ajst-31217	22	2	2	2	X
ajst-31217	22	3	)	)	PUNCT
ajst-31217	22	4	construction	construction	NOUN
ajst-31217	22	5	and	and	CCONJ
ajst-31217	22	6	training	training	NOUN
ajst-31217	22	7	of	of	ADP
ajst-31217	22	8	the	the	DET
ajst-31217	22	9	random	random	ADJ
ajst-31217	22	10	forest	forest	NOUN
ajst-31217	22	11	model	model	NOUN
ajst-31217	22	12	in	in	ADP
ajst-31217	22	13	the	the	DET
ajst-31217	22	14	medal	medal	ADJ
ajst-31217	22	15	table	table	NOUN
ajst-31217	22	16	prediction	prediction	NOUN
ajst-31217	22	17	,	,	PUNCT
ajst-31217	22	18	there	there	PRON
ajst-31217	22	19	are	be	VERB
ajst-31217	22	20	multiple	multiple	ADJ
ajst-31217	22	21	features	feature	NOUN
ajst-31217	22	22	(	(	PUNCT
ajst-31217	22	23	historical	historical	ADJ
ajst-31217	22	24	results	result	NOUN
ajst-31217	22	25	,	,	PUNCT
ajst-31217	22	26	host	host	NOUN
ajst-31217	22	27	country	country	NOUN
ajst-31217	22	28	effect	effect	NOUN
ajst-31217	22	29	,	,	PUNCT
ajst-31217	22	30	number	number	NOUN
ajst-31217	22	31	of	of	ADP
ajst-31217	22	32	events	event	NOUN
ajst-31217	22	33	,	,	PUNCT
ajst-31217	22	34	etc	etc	X
ajst-31217	22	35	.	.	X
ajst-31217	22	36	)	)	PUNCT
ajst-31217	22	37	,	,	PUNCT
ajst-31217	22	38	but	but	CCONJ
ajst-31217	22	39	not	not	PART
ajst-31217	22	40	every	every	DET
ajst-31217	22	41	feature	feature	NOUN
ajst-31217	22	42	has	have	VERB
ajst-31217	22	43	a	a	DET
ajst-31217	22	44	significant	significant	ADJ
ajst-31217	22	45	impact	impact	NOUN
ajst-31217	22	46	on	on	ADP
ajst-31217	22	47	the	the	DET
ajst-31217	22	48	number	number	NOUN
ajst-31217	22	49	of	of	ADP
ajst-31217	22	50	medals	medal	NOUN
ajst-31217	22	51	.	.	PUNCT
ajst-31217	23	1	the	the	DET
ajst-31217	23	2	model	model	NOUN
ajst-31217	23	3	has	have	AUX
ajst-31217	23	4	built	build	VERB
ajst-31217	23	5	-	-	PUNCT
ajst-31217	23	6	in	in	ADP
ajst-31217	23	7	feature	feature	NOUN
ajst-31217	23	8	importance	importance	NOUN
ajst-31217	23	9	analysis	analysis	NOUN
ajst-31217	23	10	to	to	PART
ajst-31217	23	11	evaluate	evaluate	VERB
ajst-31217	23	12	the	the	DET
ajst-31217	23	13	contribution	contribution	NOUN
ajst-31217	23	14	of	of	ADP
ajst-31217	23	15	each	each	DET
ajst-31217	23	16	feature	feature	NOUN
ajst-31217	23	17	by	by	ADP
ajst-31217	23	18	splitting	split	VERB
ajst-31217	23	19	the	the	DET
ajst-31217	23	20	gain	gain	NOUN
ajst-31217	23	21	of	of	ADP
ajst-31217	23	22	the	the	DET
ajst-31217	23	23	node	node	NOUN
ajst-31217	23	24	.	.	PUNCT
ajst-31217	24	1	the	the	DET
ajst-31217	24	2	host	host	NOUN
ajst-31217	24	3	country	country	NOUN
ajst-31217	24	4	effect	effect	NOUN
ajst-31217	24	5	can	can	AUX
ajst-31217	24	6	be	be	AUX
ajst-31217	24	7	modeled	model	VERB
ajst-31217	24	8	by	by	ADP
ajst-31217	24	9	adding	add	VERB
ajst-31217	24	10	host	host	NOUN
ajst-31217	24	11	country	country	NOUN
ajst-31217	24	12	features	feature	NOUN
ajst-31217	24	13	(	(	PUNCT
ajst-31217	24	14	such	such	ADJ
ajst-31217	24	15	as	as	ADP
ajst-31217	24	16	host_2028	host_2028	NOUN
ajst-31217	24	17	)	)	PUNCT
ajst-31217	24	18	and	and	CCONJ
ajst-31217	24	19	geographic	geographic	ADJ
ajst-31217	24	20	proximity	proximity	NOUN
ajst-31217	24	21	features	feature	VERB
ajst-31217	24	22	.	.	PUNCT
ajst-31217	25	1	it	it	PRON
ajst-31217	25	2	can	can	AUX
ajst-31217	25	3	flexibly	flexibly	ADV
ajst-31217	25	4	identify	identify	VERB
ajst-31217	25	5	the	the	DET
ajst-31217	25	6	strength	strength	NOUN
ajst-31217	25	7	of	of	ADP
ajst-31217	25	8	the	the	DET
ajst-31217	25	9	host	host	NOUN
ajst-31217	25	10	country	country	NOUN
ajst-31217	25	11	effect	effect	NOUN
ajst-31217	25	12	and	and	CCONJ
ajst-31217	25	13	its	its	PRON
ajst-31217	25	14	interaction	interaction	NOUN
ajst-31217	25	15	with	with	ADP
ajst-31217	25	16	historical	historical	ADJ
ajst-31217	25	17	results	result	NOUN
ajst-31217	25	18	.	.	PUNCT
ajst-31217	26	1	assume	assume	VERB
ajst-31217	26	2	that	that	SCONJ
ajst-31217	26	3	an	an	DET
ajst-31217	26	4	observation	observation	NOUN
ajst-31217	26	5	value	value	NOUN
ajst-31217	26	6	𝑋	𝑋	NOUN
ajst-31217	26	7	is	be	AUX
ajst-31217	26	8	not	not	PART
ajst-31217	26	9	zero	zero	NUM
ajst-31217	26	10	and	and	CCONJ
ajst-31217	26	11	is	be	AUX
ajst-31217	26	12	contained	contain	VERB
ajst-31217	26	13	in	in	ADP
ajst-31217	26	14	the	the	DET
ajst-31217	26	15	leaf	leaf	NOUN
ajst-31217	26	16	node	node	NOUN
ajst-31217	26	17	l	l	NOUN
ajst-31217	26	18	(	(	PUNCT
ajst-31217	26	19	x	x	X
ajst-31217	26	20	,	,	PUNCT
ajst-31217	26	21	θ	θ	NOUN
ajst-31217	26	22	)	)	PUNCT
ajst-31217	26	23	,	,	PUNCT
ajst-31217	26	24	and	and	CCONJ
ajst-31217	26	25	its	its	PRON
ajst-31217	26	26	weight	weight	NOUN
ajst-31217	26	27	𝜔	𝜔	X
ajst-31217	26	28	(	(	PUNCT
ajst-31217	26	29	x	x	NOUN
ajst-31217	26	30	,	,	PUNCT
ajst-31217	26	31	θ	θ	NOUN
ajst-31217	26	32	)	)	PUNCT
ajst-31217	26	33	can	can	AUX
ajst-31217	26	34	be	be	AUX
ajst-31217	26	35	expressed	express	VERB
ajst-31217	26	36	as	as	ADP
ajst-31217	26	37	:	:	PUNCT
ajst-31217	26	38			PROPN
ajst-31217	26	39			PROPN
ajst-31217	26	40			PROPN
ajst-31217	26	41			PROPN
ajst-31217	26	42	(	(	PUNCT
ajst-31217	26	43	,	,	PUNCT
ajst-31217	26	44	)	)	PUNCT
ajst-31217	26	45	(	(	PUNCT
ajst-31217	26	46	,	,	PUNCT
ajst-31217	26	47	)	)	PUNCT
ajst-31217	26	48	,	,	PUNCT
ajst-31217	26	49	(	(	PUNCT
ajst-31217	26	50	1	1	NUM
ajst-31217	26	51	,	,	PUNCT
ajst-31217	26	52	2	2	NUM
ajst-31217	26	53	,	,	PUNCT
ajst-31217	26	54	,	,	PUNCT
ajst-31217	26	55	)	)	PUNCT
ajst-31217	26	56	:	:	PUNCT
ajst-31217	26	57	(	(	PUNCT
ajst-31217	26	58	,	,	PUNCT
ajst-31217	26	59	)	)	PUNCT
ajst-31217	27	1	i	i	PRON
ajst-31217	27	2	l	l	VERB
ajst-31217	28	1	i	i	PRON
ajst-31217	28	2	j	j	NOUN
ajst-31217	29	1	l	l	NOUN
ajst-31217	29	2	l	l	NOUN
ajst-31217	30	1	x	x	PUNCT
ajst-31217	30	2	r	r	NOUN
ajst-31217	30	3	x	x	PUNCT
ajst-31217	30	4	x	x	VERB
ajst-31217	30	5	i	i	PRON
ajst-31217	30	6	n	n	VERB
ajst-31217	30	7	l	l	NOUN
ajst-31217	30	8	j	j	NOUN
ajst-31217	30	9	x	x	SYM
ajst-31217	30	10	r	r	NOUN
ajst-31217	30	11	x	x	PUNCT
ajst-31217	30	12			X
ajst-31217	30	13			X
ajst-31217	30	14			PROPN
ajst-31217	30	15			PROPN
ajst-31217	30	16			PROPN
ajst-31217	31	1			PROPN
ajst-31217	31	2			PROPN
ajst-31217	31	3			PROPN
ajst-31217	31	4			NOUN
ajst-31217	31	5	(	(	PUNCT
ajst-31217	31	6	1	1	NUM
ajst-31217	31	7	)	)	PUNCT
ajst-31217	31	8	87	87	NUM
ajst-31217	31	9	the	the	DET
ajst-31217	31	10	weight	weight	NOUN
ajst-31217	31	11	𝜔	𝜔	X
ajst-31217	31	12	(	(	PUNCT
ajst-31217	31	13	x	x	NOUN
ajst-31217	31	14	)	)	PUNCT
ajst-31217	31	15	of	of	ADP
ajst-31217	31	16	each	each	DET
ajst-31217	31	17	observation	observation	NOUN
ajst-31217	31	18	𝑌	𝑌	PROPN
ajst-31217	31	19	∈(1	∈(1	PROPN
ajst-31217	31	20	,	,	PUNCT
ajst-31217	31	21	2	2	NUM
ajst-31217	31	22	,	,	PUNCT
ajst-31217	31	23	...	...	PUNCT
ajst-31217	31	24	,	,	PUNCT
ajst-31217	31	25	n	n	CCONJ
ajst-31217	31	26	)	)	PUNCT
ajst-31217	31	27	can	can	AUX
ajst-31217	31	28	be	be	AUX
ajst-31217	31	29	represented	represent	VERB
ajst-31217	31	30	by	by	ADP
ajst-31217	31	31	taking	take	VERB
ajst-31217	31	32	the	the	DET
ajst-31217	31	33	mean	mean	NOUN
ajst-31217	31	34	of	of	ADP
ajst-31217	31	35	the	the	DET
ajst-31217	31	36	weights	weight	NOUN
ajst-31217	31	37	𝜔	𝜔	X
ajst-31217	31	38	(	(	PUNCT
ajst-31217	31	39	x	x	NOUN
ajst-31217	31	40	,	,	PUNCT
ajst-31217	31	41	𝜃	𝜃	NOUN
ajst-31217	31	42	)	)	PUNCT
ajst-31217	31	43	(	(	PUNCT
ajst-31217	31	44	t=1	t=1	PROPN
ajst-31217	31	45	,	,	PUNCT
ajst-31217	31	46	2	2	NUM
ajst-31217	31	47	,	,	PUNCT
ajst-31217	31	48	...	...	PUNCT
ajst-31217	31	49	,	,	PUNCT
ajst-31217	31	50	k	k	NOUN
ajst-31217	31	51	)	)	PUNCT
ajst-31217	31	52	of	of	ADP
ajst-31217	31	53	the	the	DET
ajst-31217	31	54	decision	decision	NOUN
ajst-31217	31	55	tree	tree	NOUN
ajst-31217	31	56	:	:	PUNCT
ajst-31217	31	57	1	1	NUM
ajst-31217	31	58	1	1	NUM
ajst-31217	31	59	(	(	PUNCT
ajst-31217	31	60	)	)	PUNCT
ajst-31217	31	61	(	(	PUNCT
ajst-31217	31	62	,	,	PUNCT
ajst-31217	31	63	)	)	PUNCT
ajst-31217	32	1	k	k	PROPN
ajst-31217	33	1	i	i	PRON
ajst-31217	33	2	i	i	PRON
ajst-31217	34	1	i	i	VERB
ajst-31217	34	2	w	w	VERB
ajst-31217	34	3	x	x	VERB
ajst-31217	34	4	w	w	PROPN
ajst-31217	34	5	x	x	X
ajst-31217	34	6	y	y	NOUN
ajst-31217	34	7	k	k	PROPN
ajst-31217	34	8			PROPN
ajst-31217	35	1			PROPN
ajst-31217	36	1			ADJ
ajst-31217	36	2			X
ajst-31217	36	3	(	(	PUNCT
ajst-31217	36	4	2	2	X
ajst-31217	36	5	)	)	PUNCT
ajst-31217	36	6	in	in	ADP
ajst-31217	36	7	cases	case	NOUN
ajst-31217	36	8	involving	involve	VERB
ajst-31217	36	9	large	large	ADJ
ajst-31217	36	10	amounts	amount	NOUN
ajst-31217	36	11	of	of	ADP
ajst-31217	36	12	data	datum	NOUN
ajst-31217	36	13	such	such	ADJ
ajst-31217	36	14	as	as	ADP
ajst-31217	36	15	multiple	multiple	ADJ
ajst-31217	36	16	olympic	olympic	ADJ
ajst-31217	36	17	games	game	NOUN
ajst-31217	36	18	,	,	PUNCT
ajst-31217	36	19	the	the	DET
ajst-31217	36	20	random	random	ADJ
ajst-31217	36	21	forest	forest	NOUN
ajst-31217	36	22	model	model	NOUN
ajst-31217	36	23	divides	divide	VERB
ajst-31217	36	24	the	the	DET
ajst-31217	36	25	data	datum	NOUN
ajst-31217	36	26	into	into	ADP
ajst-31217	36	27	training	training	NOUN
ajst-31217	36	28	and	and	CCONJ
ajst-31217	36	29	test	test	NOUN
ajst-31217	36	30	sets	set	NOUN
ajst-31217	36	31	,	,	PUNCT
ajst-31217	36	32	and	and	CCONJ
ajst-31217	36	33	evaluates	evaluate	VERB
ajst-31217	36	34	the	the	DET
ajst-31217	36	35	model	model	NOUN
ajst-31217	36	36	performance	performance	NOUN
ajst-31217	36	37	by	by	ADP
ajst-31217	36	38	calculating	calculate	VERB
ajst-31217	36	39	the	the	DET
ajst-31217	36	40	mean	mean	ADJ
ajst-31217	36	41	square	square	NOUN
ajst-31217	36	42	error	error	NOUN
ajst-31217	36	43	(	(	PUNCT
ajst-31217	36	44	mse	mse	NOUN
ajst-31217	36	45	)	)	PUNCT
ajst-31217	36	46	and	and	CCONJ
ajst-31217	36	47	𝑅²	𝑅²	PRON
ajst-31217	36	48	.	.	PUNCT
ajst-31217	37	1	the	the	DET
ajst-31217	37	2	training	training	NOUN
ajst-31217	37	3	process	process	NOUN
ajst-31217	37	4	can	can	AUX
ajst-31217	37	5	be	be	AUX
ajst-31217	37	6	completed	complete	VERB
ajst-31217	37	7	quickly	quickly	ADV
ajst-31217	37	8	,	,	PUNCT
ajst-31217	37	9	saving	save	VERB
ajst-31217	37	10	time	time	NOUN
ajst-31217	37	11	and	and	CCONJ
ajst-31217	37	12	improving	improve	VERB
ajst-31217	37	13	efficiency	efficiency	NOUN
ajst-31217	37	14	.	.	PUNCT
ajst-31217	38	1	based	base	VERB
ajst-31217	38	2	on	on	ADP
ajst-31217	38	3	the	the	DET
ajst-31217	38	4	gradient	gradient	NOUN
ajst-31217	38	5	boosting	boost	VERB
ajst-31217	38	6	algorithm	algorithm	NOUN
ajst-31217	38	7	,	,	PUNCT
ajst-31217	38	8	this	this	DET
ajst-31217	38	9	paper	paper	NOUN
ajst-31217	38	10	focused	focus	VERB
ajst-31217	38	11	on	on	ADP
ajst-31217	38	12	samples	sample	NOUN
ajst-31217	38	13	with	with	ADP
ajst-31217	38	14	large	large	ADJ
ajst-31217	38	15	prediction	prediction	NOUN
ajst-31217	38	16	errors	error	NOUN
ajst-31217	38	17	to	to	PART
ajst-31217	38	18	improve	improve	VERB
ajst-31217	38	19	the	the	DET
ajst-31217	38	20	prediction	prediction	NOUN
ajst-31217	38	21	accuracy	accuracy	NOUN
ajst-31217	38	22	of	of	ADP
ajst-31217	38	23	countries	country	NOUN
ajst-31217	38	24	with	with	ADP
ajst-31217	38	25	fewer	few	ADJ
ajst-31217	38	26	medals	medal	NOUN
ajst-31217	38	27	.	.	PUNCT
ajst-31217	39	1	(	(	PUNCT
ajst-31217	39	2	3	3	X
ajst-31217	39	3	)	)	PUNCT
ajst-31217	39	4	the	the	DET
ajst-31217	39	5	solution	solution	NOUN
ajst-31217	39	6	of	of	ADP
ajst-31217	39	7	model	model	NOUN
ajst-31217	39	8	figure	figure	NOUN
ajst-31217	39	9	1	1	NUM
ajst-31217	39	10	.	.	PUNCT
ajst-31217	39	11	prediction	prediction	NOUN
ajst-31217	39	12	of	of	ADP
ajst-31217	39	13	the	the	DET
ajst-31217	39	14	top	top	ADJ
ajst-31217	39	15	ten	ten	NUM
ajst-31217	39	16	countries	country	NOUN
ajst-31217	39	17	in	in	ADP
ajst-31217	39	18	los	los	PROPN
ajst-31217	39	19	angeles	angeles	PROPN
ajst-31217	39	20	olympic	olympic	ADJ
ajst-31217	39	21	figure	figure	NOUN
ajst-31217	39	22	1	1	NUM
ajst-31217	39	23	shows	show	VERB
ajst-31217	39	24	that	that	SCONJ
ajst-31217	39	25	the	the	DET
ajst-31217	39	26	usa	usa	PROPN
ajst-31217	39	27	and	and	CCONJ
ajst-31217	39	28	china	china	PROPN
ajst-31217	39	29	continue	continue	VERB
ajst-31217	39	30	to	to	PART
ajst-31217	39	31	lead	lead	VERB
ajst-31217	39	32	in	in	ADP
ajst-31217	39	33	the	the	DET
ajst-31217	39	34	number	number	NOUN
ajst-31217	39	35	of	of	ADP
ajst-31217	39	36	gold	gold	NOUN
ajst-31217	39	37	medals	medal	NOUN
ajst-31217	39	38	and	and	CCONJ
ajst-31217	39	39	the	the	DET
ajst-31217	39	40	total	total	ADJ
ajst-31217	39	41	number	number	NOUN
ajst-31217	39	42	of	of	ADP
ajst-31217	39	43	medals	medal	NOUN
ajst-31217	39	44	,	,	PUNCT
ajst-31217	39	45	followed	follow	VERB
ajst-31217	39	46	by	by	ADP
ajst-31217	39	47	great	great	ADJ
ajst-31217	39	48	britian	britian	PROPN
ajst-31217	39	49	and	and	CCONJ
ajst-31217	39	50	france	france	PROPN
ajst-31217	39	51	.	.	PUNCT
ajst-31217	40	1	there	there	PRON
ajst-31217	40	2	is	be	VERB
ajst-31217	40	3	little	little	ADJ
ajst-31217	40	4	fluctuation	fluctuation	NOUN
ajst-31217	40	5	in	in	ADP
ajst-31217	40	6	the	the	DET
ajst-31217	40	7	number	number	NOUN
ajst-31217	40	8	of	of	ADP
ajst-31217	40	9	medals	medal	NOUN
ajst-31217	40	10	won	win	VERB
ajst-31217	40	11	by	by	ADP
ajst-31217	40	12	the	the	DET
ajst-31217	40	13	strongest	strong	ADJ
ajst-31217	40	14	countries	country	NOUN
ajst-31217	40	15	(	(	PUNCT
ajst-31217	40	16	standard	standard	ADJ
ajst-31217	40	17	deviation	deviation	NOUN
ajst-31217	40	18	<	<	X
ajst-31217	40	19	5	5	NUM
ajst-31217	40	20	per	per	ADP
ajst-31217	40	21	cent	cent	NOUN
ajst-31217	40	22	)	)	PUNCT
ajst-31217	40	23	,	,	PUNCT
ajst-31217	40	24	and	and	CCONJ
ajst-31217	40	25	some	some	DET
ajst-31217	40	26	small	small	ADJ
ajst-31217	40	27	and	and	CCONJ
ajst-31217	40	28	medium	medium	ADJ
ajst-31217	40	29	-	-	PUNCT
ajst-31217	40	30	sized	sized	ADJ
ajst-31217	40	31	countries	country	NOUN
ajst-31217	40	32	may	may	AUX
ajst-31217	40	33	slip	slip	VERB
ajst-31217	40	34	in	in	ADP
ajst-31217	40	35	the	the	DET
ajst-31217	40	36	rankings	ranking	NOUN
ajst-31217	40	37	as	as	ADP
ajst-31217	40	38	a	a	DET
ajst-31217	40	39	result	result	NOUN
ajst-31217	40	40	of	of	ADP
ajst-31217	40	41	the	the	DET
ajst-31217	40	42	downsizing	downsizing	NOUN
ajst-31217	40	43	of	of	ADP
ajst-31217	40	44	their	their	PRON
ajst-31217	40	45	participation	participation	NOUN
ajst-31217	40	46	.	.	PUNCT
ajst-31217	41	1	2.2	2.2	NUM
ajst-31217	41	2	.	.	PUNCT
ajst-31217	41	3	first	first	ADJ
ajst-31217	41	4	-	-	PUNCT
ajst-31217	41	5	time	time	NOUN
ajst-31217	41	6	winners	winner	NOUN
ajst-31217	41	7	’	’	PART
ajst-31217	41	8	prediction	prediction	NOUN
ajst-31217	41	9	(	(	PUNCT
ajst-31217	41	10	1	1	NUM
ajst-31217	41	11	)	)	PUNCT
ajst-31217	41	12	feature	feature	NOUN
ajst-31217	41	13	selection	selection	NOUN
ajst-31217	41	14	the	the	DET
ajst-31217	41	15	performance	performance	NOUN
ajst-31217	41	16	of	of	ADP
ajst-31217	41	17	a	a	DET
ajst-31217	41	18	logistic	logistic	ADJ
ajst-31217	41	19	regression	regression	NOUN
ajst-31217	41	20	model	model	NOUN
ajst-31217	41	21	depends	depend	VERB
ajst-31217	41	22	on	on	ADP
ajst-31217	41	23	the	the	DET
ajst-31217	41	24	quality	quality	NOUN
ajst-31217	41	25	and	and	CCONJ
ajst-31217	41	26	relevance	relevance	NOUN
ajst-31217	41	27	of	of	ADP
ajst-31217	41	28	the	the	DET
ajst-31217	41	29	input	input	NOUN
ajst-31217	41	30	features	feature	NOUN
ajst-31217	41	31	.	.	PUNCT
ajst-31217	42	1	therefore	therefore	ADV
ajst-31217	42	2	,	,	PUNCT
ajst-31217	42	3	the	the	DET
ajst-31217	42	4	goal	goal	NOUN
ajst-31217	42	5	of	of	ADP
ajst-31217	42	6	feature	feature	NOUN
ajst-31217	42	7	selection	selection	NOUN
ajst-31217	42	8	is	be	AUX
ajst-31217	42	9	to	to	PART
ajst-31217	42	10	pick	pick	VERB
ajst-31217	42	11	out	out	ADP
ajst-31217	42	12	variables	variable	NOUN
ajst-31217	42	13	that	that	PRON
ajst-31217	42	14	are	be	AUX
ajst-31217	42	15	highly	highly	ADV
ajst-31217	42	16	correlated	correlate	VERB
ajst-31217	42	17	with	with	ADP
ajst-31217	42	18	the	the	DET
ajst-31217	42	19	probability	probability	NOUN
ajst-31217	42	20	of	of	ADP
ajst-31217	42	21	winning	win	VERB
ajst-31217	42	22	a	a	DET
ajst-31217	42	23	gold	gold	NOUN
ajst-31217	42	24	medal	medal	NOUN
ajst-31217	42	25	,	,	PUNCT
ajst-31217	42	26	while	while	SCONJ
ajst-31217	42	27	avoiding	avoid	VERB
ajst-31217	42	28	redundant	redundant	ADJ
ajst-31217	42	29	or	or	CCONJ
ajst-31217	42	30	irrelevant	irrelevant	ADJ
ajst-31217	42	31	variables	variable	NOUN
ajst-31217	42	32	to	to	PART
ajst-31217	42	33	improve	improve	VERB
ajst-31217	42	34	the	the	DET
ajst-31217	42	35	performance	performance	NOUN
ajst-31217	42	36	and	and	CCONJ
ajst-31217	42	37	interpretability	interpretability	NOUN
ajst-31217	42	38	of	of	ADP
ajst-31217	42	39	the	the	DET
ajst-31217	42	40	model	model	NOUN
ajst-31217	42	41	[	[	X
ajst-31217	42	42	4	4	NUM
ajst-31217	42	43	]	]	PUNCT
ajst-31217	42	44	.	.	PUNCT
ajst-31217	43	1	this	this	DET
ajst-31217	43	2	paper	paper	NOUN
ajst-31217	43	3	selected	select	VERB
ajst-31217	43	4	the	the	DET
ajst-31217	43	5	following	follow	VERB
ajst-31217	43	6	three	three	NUM
ajst-31217	43	7	features	feature	NOUN
ajst-31217	43	8	to	to	PART
ajst-31217	43	9	build	build	VERB
ajst-31217	43	10	the	the	DET
ajst-31217	43	11	model	model	NOUN
ajst-31217	43	12	:	:	PUNCT
ajst-31217	43	13	a	a	X
ajst-31217	43	14	)	)	PUNCT
ajst-31217	43	15	num_events	num_event	NOUN
ajst-31217	43	16	the	the	DET
ajst-31217	43	17	more	more	ADJ
ajst-31217	43	18	events	event	NOUN
ajst-31217	43	19	a	a	DET
ajst-31217	43	20	country	country	NOUN
ajst-31217	43	21	participates	participate	VERB
ajst-31217	43	22	in	in	ADP
ajst-31217	43	23	,	,	PUNCT
ajst-31217	43	24	the	the	DET
ajst-31217	43	25	more	more	ADJ
ajst-31217	43	26	sports	sport	NOUN
ajst-31217	43	27	it	it	PRON
ajst-31217	43	28	competes	compete	VERB
ajst-31217	43	29	in	in	ADP
ajst-31217	43	30	and	and	CCONJ
ajst-31217	43	31	the	the	DET
ajst-31217	43	32	more	more	ADV
ajst-31217	43	33	likely	likely	ADJ
ajst-31217	43	34	it	it	PRON
ajst-31217	43	35	is	be	AUX
ajst-31217	43	36	to	to	PART
ajst-31217	43	37	win	win	VERB
ajst-31217	43	38	a	a	DET
ajst-31217	43	39	medal	medal	NOUN
ajst-31217	43	40	.	.	PUNCT
ajst-31217	44	1	this	this	DET
ajst-31217	44	2	feature	feature	NOUN
ajst-31217	44	3	directly	directly	ADV
ajst-31217	44	4	reflects	reflect	VERB
ajst-31217	44	5	a	a	DET
ajst-31217	44	6	country	country	NOUN
ajst-31217	44	7	's	's	PART
ajst-31217	44	8	participation	participation	NOUN
ajst-31217	44	9	in	in	ADP
ajst-31217	44	10	the	the	DET
ajst-31217	44	11	olympics	olympics	PROPN
ajst-31217	44	12	and	and	CCONJ
ajst-31217	44	13	is	be	AUX
ajst-31217	44	14	an	an	DET
ajst-31217	44	15	important	important	ADJ
ajst-31217	44	16	feature	feature	NOUN
ajst-31217	44	17	directly	directly	ADV
ajst-31217	44	18	related	relate	VERB
ajst-31217	44	19	to	to	ADP
ajst-31217	44	20	winning	win	VERB
ajst-31217	44	21	a	a	DET
ajst-31217	44	22	medal	medal	NOUN
ajst-31217	44	23	.	.	PUNCT
ajst-31217	45	1	b	b	X
ajst-31217	45	2	)	)	PUNCT
ajst-31217	45	3	num_athletes	num_athlete	NOUN
ajst-31217	45	4	the	the	DET
ajst-31217	45	5	more	more	ADJ
ajst-31217	45	6	athletes	athlete	NOUN
ajst-31217	45	7	a	a	DET
ajst-31217	45	8	country	country	NOUN
ajst-31217	45	9	participates	participate	VERB
ajst-31217	45	10	in	in	ADP
ajst-31217	45	11	,	,	PUNCT
ajst-31217	45	12	the	the	PRON
ajst-31217	45	13	more	more	ADJ
ajst-31217	45	14	it	it	PRON
ajst-31217	45	15	invests	invest	VERB
ajst-31217	45	16	in	in	ADP
ajst-31217	45	17	the	the	DET
ajst-31217	45	18	olympics	olympics	PROPN
ajst-31217	45	19	and	and	CCONJ
ajst-31217	45	20	the	the	DET
ajst-31217	45	21	more	more	ADV
ajst-31217	45	22	likely	likely	ADJ
ajst-31217	45	23	it	it	PRON
ajst-31217	45	24	is	be	AUX
ajst-31217	45	25	to	to	PART
ajst-31217	45	26	win	win	VERB
ajst-31217	45	27	a	a	DET
ajst-31217	45	28	medal	medal	NOUN
ajst-31217	45	29	.	.	PUNCT
ajst-31217	46	1	c	c	X
ajst-31217	46	2	)	)	PUNCT
ajst-31217	46	3	nearby_host	nearby_host	ADV
ajst-31217	46	4	this	this	PRON
ajst-31217	46	5	is	be	AUX
ajst-31217	46	6	a	a	DET
ajst-31217	46	7	binary	binary	ADJ
ajst-31217	46	8	variable	variable	NOUN
ajst-31217	46	9	(	(	PUNCT
ajst-31217	46	10	0	0	NUM
ajst-31217	46	11	or	or	CCONJ
ajst-31217	46	12	1	1	NUM
ajst-31217	46	13	)	)	PUNCT
ajst-31217	46	14	.	.	PUNCT
ajst-31217	47	1	countries	country	NOUN
ajst-31217	47	2	that	that	PRON
ajst-31217	47	3	are	be	AUX
ajst-31217	47	4	close	close	ADJ
ajst-31217	47	5	to	to	ADP
ajst-31217	47	6	the	the	DET
ajst-31217	47	7	host	host	NOUN
ajst-31217	47	8	country	country	NOUN
ajst-31217	47	9	tend	tend	VERB
ajst-31217	47	10	to	to	PART
ajst-31217	47	11	perform	perform	VERB
ajst-31217	47	12	better	well	ADV
ajst-31217	47	13	in	in	ADP
ajst-31217	47	14	the	the	DET
ajst-31217	47	15	olympics	olympic	NOUN
ajst-31217	47	16	.	.	PUNCT
ajst-31217	48	1	possible	possible	ADJ
ajst-31217	48	2	reasons	reason	NOUN
ajst-31217	48	3	include	include	VERB
ajst-31217	48	4	:	:	PUNCT
ajst-31217	48	5	geographical	geographical	ADJ
ajst-31217	48	6	advantage	advantage	NOUN
ajst-31217	48	7	(	(	PUNCT
ajst-31217	48	8	short	short	ADJ
ajst-31217	48	9	travel	travel	NOUN
ajst-31217	48	10	time	time	NOUN
ajst-31217	48	11	)	)	PUNCT
ajst-31217	48	12	.	.	PUNCT
ajst-31217	49	1	the	the	DET
ajst-31217	49	2	influence	influence	NOUN
ajst-31217	49	3	of	of	ADP
ajst-31217	49	4	the	the	DET
ajst-31217	49	5	host	host	NOUN
ajst-31217	49	6	country	country	NOUN
ajst-31217	49	7	on	on	ADP
ajst-31217	49	8	neighboring	neighboring	NOUN
ajst-31217	49	9	countries	country	NOUN
ajst-31217	49	10	.	.	PUNCT
ajst-31217	50	1	cultural	cultural	ADJ
ajst-31217	50	2	or	or	CCONJ
ajst-31217	50	3	economic	economic	ADJ
ajst-31217	50	4	ties	tie	NOUN
ajst-31217	50	5	.	.	PUNCT
ajst-31217	51	1	this	this	DET
ajst-31217	51	2	feature	feature	NOUN
ajst-31217	51	3	reflects	reflect	VERB
ajst-31217	51	4	the	the	DET
ajst-31217	51	5	potential	potential	ADJ
ajst-31217	51	6	impact	impact	NOUN
ajst-31217	51	7	of	of	ADP
ajst-31217	51	8	geographic	geographic	ADJ
ajst-31217	51	9	and	and	CCONJ
ajst-31217	51	10	social	social	ADJ
ajst-31217	51	11	factors	factor	NOUN
ajst-31217	51	12	on	on	ADP
ajst-31217	51	13	olympic	olympic	ADJ
ajst-31217	51	14	performance	performance	NOUN
ajst-31217	51	15	.	.	PUNCT
ajst-31217	52	1	(	(	PUNCT
ajst-31217	52	2	2	2	X
ajst-31217	52	3	)	)	PUNCT
ajst-31217	52	4	construction	construction	NOUN
ajst-31217	52	5	and	and	CCONJ
ajst-31217	52	6	training	training	NOUN
ajst-31217	52	7	of	of	ADP
ajst-31217	52	8	the	the	DET
ajst-31217	52	9	logistic	logistic	ADJ
ajst-31217	52	10	regression	regression	NOUN
ajst-31217	52	11	model	model	NOUN
ajst-31217	52	12	:	:	PUNCT
ajst-31217	52	13	step	step	NOUN
ajst-31217	52	14	1	1	NUM
ajst-31217	52	15	:	:	PUNCT
ajst-31217	52	16	train	train	VERB
ajst-31217	52	17	the	the	DET
ajst-31217	52	18	logistic	logistic	ADJ
ajst-31217	52	19	regression	regression	NOUN
ajst-31217	52	20	model	model	NOUN
ajst-31217	52	21	.	.	PUNCT
ajst-31217	53	1	use	use	VERB
ajst-31217	53	2	num_athletes	num_athlete	NOUN
ajst-31217	53	3	,	,	PUNCT
ajst-31217	53	4	num_events	num_event	NOUN
ajst-31217	53	5	,	,	PUNCT
ajst-31217	53	6	nearby_host	nearby_host	ADV
ajst-31217	53	7	as	as	ADP
ajst-31217	53	8	features	feature	NOUN
ajst-31217	53	9	(	(	PUNCT
ajst-31217	53	10	𝑋	𝑋	NOUN
ajst-31217	53	11	)	)	PUNCT
ajst-31217	53	12	and	and	CCONJ
ajst-31217	53	13	gold	gold	NOUN
ajst-31217	53	14	as	as	ADP
ajst-31217	53	15	the	the	DET
ajst-31217	53	16	target	target	NOUN
ajst-31217	53	17	variable	variable	NOUN
ajst-31217	53	18	(	(	PUNCT
ajst-31217	53	19	𝑦	𝑦	NOUN
ajst-31217	53	20	)	)	PUNCT
ajst-31217	53	21	for	for	ADP
ajst-31217	53	22	training	training	NOUN
ajst-31217	53	23	.	.	PUNCT
ajst-31217	54	1	the	the	DET
ajst-31217	54	2	data	data	NOUN
ajst-31217	54	3	is	be	AUX
ajst-31217	54	4	split	split	VERB
ajst-31217	54	5	into	into	ADP
ajst-31217	54	6	training	training	NOUN
ajst-31217	54	7	and	and	CCONJ
ajst-31217	54	8	test	test	NOUN
ajst-31217	54	9	sets	set	NOUN
ajst-31217	54	10	by	by	ADP
ajst-31217	54	11	train_test_split	train_test_split	PROPN
ajst-31217	54	12	.	.	PUNCT
ajst-31217	54	13	step	step	NOUN
ajst-31217	54	14	2	2	NUM
ajst-31217	54	15	:	:	PUNCT
ajst-31217	54	16	smooth	smooth	VERB
ajst-31217	54	17	the	the	DET
ajst-31217	54	18	predicted	predict	VERB
ajst-31217	54	19	probabilities	probability	NOUN
ajst-31217	54	20	.	.	PUNCT
ajst-31217	55	1	the	the	DET
ajst-31217	55	2	probability	probability	NOUN
ajst-31217	55	3	values	value	NOUN
ajst-31217	55	4	output	output	VERB
ajst-31217	55	5	by	by	ADP
ajst-31217	55	6	the	the	DET
ajst-31217	55	7	prediction	prediction	NOUN
ajst-31217	55	8	model	model	NOUN
ajst-31217	55	9	may	may	AUX
ajst-31217	55	10	be	be	AUX
ajst-31217	55	11	close	close	ADJ
ajst-31217	55	12	to	to	ADP
ajst-31217	55	13	0	0	NUM
ajst-31217	55	14	or	or	CCONJ
ajst-31217	55	15	1	1	NUM
ajst-31217	55	16	,	,	PUNCT
ajst-31217	55	17	resulting	result	VERB
ajst-31217	55	18	in	in	ADP
ajst-31217	55	19	an	an	DET
ajst-31217	55	20	insufficiently	insufficiently	ADV
ajst-31217	55	21	refined	refine	VERB
ajst-31217	55	22	model	model	NOUN
ajst-31217	55	23	.	.	PUNCT
ajst-31217	56	1	use	use	VERB
ajst-31217	56	2	the	the	DET
ajst-31217	56	3	smoothed_probability	smoothed_probability	ADJ
ajst-31217	56	4	function	function	NOUN
ajst-31217	56	5	to	to	PART
ajst-31217	56	6	adjust	adjust	VERB
ajst-31217	56	7	these	these	DET
ajst-31217	56	8	extreme	extreme	ADJ
ajst-31217	56	9	values	value	NOUN
ajst-31217	56	10	to	to	ADP
ajst-31217	56	11	a	a	DET
ajst-31217	56	12	more	more	ADV
ajst-31217	56	13	appropriate	appropriate	ADJ
ajst-31217	56	14	range	range	NOUN
ajst-31217	56	15	.	.	PUNCT
ajst-31217	57	1	step	step	NOUN
ajst-31217	57	2	3	3	NUM
ajst-31217	57	3	:	:	PUNCT
ajst-31217	57	4	select	select	VERB
ajst-31217	57	5	the	the	DET
ajst-31217	57	6	best	good	ADJ
ajst-31217	57	7	threshold	threshold	NOUN
ajst-31217	57	8	using	use	VERB
ajst-31217	57	9	youden	youden	PROPN
ajst-31217	57	10	's	's	PART
ajst-31217	57	11	j	j	PROPN
ajst-31217	57	12	statistic	statistic	NOUN
ajst-31217	57	13	.	.	PUNCT
ajst-31217	58	1	the	the	DET
ajst-31217	58	2	best	good	ADJ
ajst-31217	58	3	threshold	threshold	NOUN
ajst-31217	58	4	is	be	AUX
ajst-31217	58	5	selected	select	VERB
ajst-31217	58	6	by	by	ADP
ajst-31217	58	7	calculating	calculate	VERB
ajst-31217	58	8	𝑓𝑝𝑟	𝑓𝑝𝑟	NOUN
ajst-31217	58	9	(	(	PUNCT
ajst-31217	58	10	false	false	ADJ
ajst-31217	58	11	positive	positive	ADJ
ajst-31217	58	12	rate	rate	NOUN
ajst-31217	58	13	)	)	PUNCT
ajst-31217	58	14	and	and	CCONJ
ajst-31217	58	15	𝑡𝑝𝑟	𝑡𝑝𝑟	X
ajst-31217	58	16	(	(	PUNCT
ajst-31217	58	17	true	true	ADJ
ajst-31217	58	18	positive	positive	ADJ
ajst-31217	58	19	rate	rate	NOUN
ajst-31217	58	20	)	)	PUNCT
ajst-31217	58	21	,	,	PUNCT
ajst-31217	58	22	as	as	ADV
ajst-31217	58	23	well	well	ADV
ajst-31217	58	24	as	as	ADP
ajst-31217	58	25	their	their	PRON
ajst-31217	58	26	difference	difference	NOUN
ajst-31217	58	27	.	.	PUNCT
ajst-31217	59	1	this	this	DET
ajst-31217	59	2	threshold	threshold	NOUN
ajst-31217	59	3	is	be	AUX
ajst-31217	59	4	used	use	VERB
ajst-31217	59	5	to	to	PART
ajst-31217	59	6	determine	determine	VERB
ajst-31217	59	7	whether	whether	SCONJ
ajst-31217	59	8	a	a	DET
ajst-31217	59	9	country	country	NOUN
ajst-31217	59	10	will	will	AUX
ajst-31217	59	11	win	win	VERB
ajst-31217	59	12	the	the	DET
ajst-31217	59	13	award	award	NOUN
ajst-31217	59	14	.	.	PUNCT
ajst-31217	60	1	using	use	VERB
ajst-31217	60	2	this	this	DET
ajst-31217	60	3	threshold	threshold	NOUN
ajst-31217	60	4	,	,	PUNCT
ajst-31217	60	5	classify	classify	VERB
ajst-31217	60	6	the	the	DET
ajst-31217	60	7	test	test	NOUN
ajst-31217	60	8	set	set	VERB
ajst-31217	60	9	data	datum	NOUN
ajst-31217	60	10	and	and	CCONJ
ajst-31217	60	11	output	output	VERB
ajst-31217	60	12	a	a	DET
ajst-31217	60	13	classification	classification	NOUN
ajst-31217	60	14	report	report	NOUN
ajst-31217	60	15	.	.	PUNCT
ajst-31217	61	1	2.3	2.3	NUM
ajst-31217	61	2	.	.	PUNCT
ajst-31217	62	1	the	the	DET
ajst-31217	62	2	solution	solution	NOUN
ajst-31217	62	3	of	of	ADP
ajst-31217	62	4	model	model	NOUN
ajst-31217	62	5	from	from	ADP
ajst-31217	62	6	the	the	DET
ajst-31217	62	7	results	result	NOUN
ajst-31217	62	8	,	,	PUNCT
ajst-31217	62	9	countries	country	NOUN
ajst-31217	62	10	with	with	ADP
ajst-31217	62	11	higher	high	ADJ
ajst-31217	62	12	economic	economic	ADJ
ajst-31217	62	13	level	level	NOUN
ajst-31217	62	14	and	and	CCONJ
ajst-31217	62	15	rich	rich	ADJ
ajst-31217	62	16	sports	sport	NOUN
ajst-31217	62	17	resources	resource	NOUN
ajst-31217	62	18	are	be	AUX
ajst-31217	62	19	more	more	ADV
ajst-31217	62	20	likely	likely	ADJ
ajst-31217	62	21	to	to	PART
ajst-31217	62	22	achieve	achieve	VERB
ajst-31217	62	23	gold	gold	NOUN
ajst-31217	62	24	medal	medal	NOUN
ajst-31217	62	25	victories	victory	NOUN
ajst-31217	62	26	in	in	ADP
ajst-31217	62	27	uncharted	uncharted	ADJ
ajst-31217	62	28	sports	sport	NOUN
ajst-31217	62	29	,	,	PUNCT
ajst-31217	62	30	reflecting	reflect	VERB
ajst-31217	62	31	the	the	DET
ajst-31217	62	32	positive	positive	ADJ
ajst-31217	62	33	cycle	cycle	NOUN
ajst-31217	62	34	of	of	ADP
ajst-31217	62	35	‘	'	PUNCT
ajst-31217	62	36	resource	resource	NOUN
ajst-31217	62	37	accumulation	accumulation	NOUN
ajst-31217	62	38	programme	programme	NOUN
ajst-31217	62	39	expansion	expansion	NOUN
ajst-31217	62	40	’	'	PUNCT
ajst-31217	62	41	.	.	PUNCT
ajst-31217	63	1	on	on	ADP
ajst-31217	63	2	the	the	DET
ajst-31217	63	3	other	other	ADJ
ajst-31217	63	4	hand	hand	NOUN
ajst-31217	63	5	,	,	PUNCT
ajst-31217	63	6	countries	country	NOUN
ajst-31217	63	7	with	with	ADP
ajst-31217	63	8	weak	weak	ADJ
ajst-31217	63	9	infrastructures	infrastructure	NOUN
ajst-31217	63	10	and	and	CCONJ
ajst-31217	63	11	a	a	DET
ajst-31217	63	12	single	single	ADJ
ajst-31217	63	13	sport	sport	NOUN
ajst-31217	63	14	are	be	AUX
ajst-31217	63	15	less	less	ADV
ajst-31217	63	16	likely	likely	ADJ
ajst-31217	63	17	to	to	PART
ajst-31217	63	18	win	win	VERB
ajst-31217	63	19	gold	gold	NOUN
ajst-31217	63	20	medals	medal	NOUN
ajst-31217	63	21	for	for	ADP
ajst-31217	63	22	the	the	DET
ajst-31217	63	23	first	first	ADJ
ajst-31217	63	24	time	time	NOUN
ajst-31217	63	25	,	,	PUNCT
ajst-31217	63	26	and	and	CCONJ
ajst-31217	63	27	need	need	VERB
ajst-31217	63	28	to	to	PART
ajst-31217	63	29	improve	improve	VERB
ajst-31217	63	30	their	their	PRON
ajst-31217	63	31	competitiveness	competitiveness	NOUN
ajst-31217	63	32	by	by	ADP
ajst-31217	63	33	expanding	expand	VERB
ajst-31217	63	34	the	the	DET
ajst-31217	63	35	scale	scale	NOUN
ajst-31217	63	36	of	of	ADP
ajst-31217	63	37	participation	participation	NOUN
ajst-31217	63	38	,	,	PUNCT
ajst-31217	63	39	optimising	optimise	VERB
ajst-31217	63	40	the	the	DET
ajst-31217	63	41	layout	layout	NOUN
ajst-31217	63	42	of	of	ADP
ajst-31217	63	43	the	the	DET
ajst-31217	63	44	sport	sport	NOUN
ajst-31217	63	45	or	or	CCONJ
ajst-31217	63	46	international	international	ADJ
ajst-31217	63	47	cooperation	cooperation	NOUN
ajst-31217	63	48	.	.	PUNCT
ajst-31217	64	1	combined	combine	VERB
ajst-31217	64	2	with	with	ADP
ajst-31217	64	3	the	the	DET
ajst-31217	64	4	feature	feature	NOUN
ajst-31217	64	5	selection	selection	NOUN
ajst-31217	64	6	in	in	ADP
ajst-31217	64	7	the	the	DET
ajst-31217	64	8	previous	previous	ADJ
ajst-31217	64	9	section	section	NOUN
ajst-31217	64	10	(	(	PUNCT
ajst-31217	64	11	number	number	NOUN
ajst-31217	64	12	of	of	ADP
ajst-31217	64	13	participants	participant	NOUN
ajst-31217	64	14	,	,	PUNCT
ajst-31217	64	15	88	88	NUM
ajst-31217	64	16	number	number	NOUN
ajst-31217	64	17	of	of	ADP
ajst-31217	64	18	events	event	NOUN
ajst-31217	64	19	,	,	PUNCT
ajst-31217	64	20	geographic	geographic	ADJ
ajst-31217	64	21	proximity	proximity	NOUN
ajst-31217	64	22	)	)	PUNCT
ajst-31217	64	23	,	,	PUNCT
ajst-31217	64	24	the	the	DET
ajst-31217	64	25	high	high	ADJ
ajst-31217	64	26	probability	probability	NOUN
ajst-31217	64	27	countries	country	NOUN
ajst-31217	64	28	usually	usually	ADV
ajst-31217	64	29	have	have	VERB
ajst-31217	64	30	the	the	DET
ajst-31217	64	31	characteristics	characteristic	NOUN
ajst-31217	64	32	of	of	ADP
ajst-31217	64	33	‘	'	PUNCT
ajst-31217	64	34	many	many	ADJ
ajst-31217	64	35	events	event	NOUN
ajst-31217	64	36	and	and	CCONJ
ajst-31217	64	37	large	large	ADJ
ajst-31217	64	38	athletes	athlete	NOUN
ajst-31217	64	39	’	'	PUNCT
ajst-31217	64	40	,	,	PUNCT
ajst-31217	64	41	which	which	PRON
ajst-31217	64	42	verifies	verify	VERB
ajst-31217	64	43	the	the	DET
ajst-31217	64	44	reasonableness	reasonableness	NOUN
ajst-31217	64	45	of	of	ADP
ajst-31217	64	46	the	the	DET
ajst-31217	64	47	input	input	NOUN
ajst-31217	64	48	features	feature	NOUN
ajst-31217	64	49	of	of	ADP
ajst-31217	64	50	the	the	DET
ajst-31217	64	51	model	model	NOUN
ajst-31217	64	52	.	.	PUNCT
ajst-31217	65	1	3	3	X
ajst-31217	65	2	.	.	X
ajst-31217	65	3	the	the	DET
ajst-31217	65	4	relationship	relationship	NOUN
ajst-31217	65	5	between	between	ADP
ajst-31217	65	6	events	event	NOUN
ajst-31217	65	7	and	and	CCONJ
ajst-31217	65	8	medals	medal	NOUN
ajst-31217	65	9	3.1	3.1	NUM
ajst-31217	65	10	.	.	PUNCT
ajst-31217	65	11	model	model	NOUN
ajst-31217	65	12	training	training	NOUN
ajst-31217	65	13	linear	linear	PROPN
ajst-31217	65	14	regression	regression	NOUN
ajst-31217	65	15	is	be	AUX
ajst-31217	65	16	used	use	VERB
ajst-31217	65	17	to	to	PART
ajst-31217	65	18	analyze	analyze	VERB
ajst-31217	65	19	project	project	NOUN
ajst-31217	65	20	settings	setting	NOUN
ajst-31217	65	21	,	,	PUNCT
ajst-31217	65	22	the	the	DET
ajst-31217	65	23	importance	importance	NOUN
ajst-31217	65	24	of	of	ADP
ajst-31217	65	25	each	each	DET
ajst-31217	65	26	sport	sport	NOUN
ajst-31217	65	27	,	,	PUNCT
ajst-31217	65	28	and	and	CCONJ
ajst-31217	65	29	the	the	DET
ajst-31217	65	30	strategic	strategic	ADJ
ajst-31217	65	31	impact	impact	NOUN
ajst-31217	65	32	of	of	ADP
ajst-31217	65	33	the	the	DET
ajst-31217	65	34	host	host	NOUN
ajst-31217	65	35	country	country	NOUN
ajst-31217	65	36	.	.	PUNCT
ajst-31217	66	1	it	it	PRON
ajst-31217	66	2	has	have	VERB
ajst-31217	66	3	the	the	DET
ajst-31217	66	4	significant	significant	ADJ
ajst-31217	66	5	advantages	advantage	NOUN
ajst-31217	66	6	of	of	ADP
ajst-31217	66	7	intuitive	intuitive	ADJ
ajst-31217	66	8	results	result	NOUN
ajst-31217	66	9	,	,	PUNCT
ajst-31217	66	10	strong	strong	ADJ
ajst-31217	66	11	interpretability	interpretability	NOUN
ajst-31217	66	12	,	,	PUNCT
ajst-31217	66	13	and	and	CCONJ
ajst-31217	66	14	support	support	NOUN
ajst-31217	66	15	for	for	ADP
ajst-31217	66	16	decision	decision	NOUN
ajst-31217	66	17	optimization	optimization	NOUN
ajst-31217	66	18	:	:	PUNCT
ajst-31217	66	19	a	a	X
ajst-31217	66	20	)	)	PUNCT
ajst-31217	66	21	quantified	quantified	ADJ
ajst-31217	66	22	impact	impact	NOUN
ajst-31217	66	23	linear	linear	PROPN
ajst-31217	66	24	regression	regression	NOUN
ajst-31217	66	25	can	can	AUX
ajst-31217	66	26	quantify	quantify	VERB
ajst-31217	66	27	the	the	DET
ajst-31217	66	28	specific	specific	ADJ
ajst-31217	66	29	contribution	contribution	NOUN
ajst-31217	66	30	of	of	ADP
ajst-31217	66	31	each	each	DET
ajst-31217	66	32	sport	sport	NOUN
ajst-31217	66	33	and	and	CCONJ
ajst-31217	66	34	event	event	NOUN
ajst-31217	66	35	to	to	ADP
ajst-31217	66	36	the	the	DET
ajst-31217	66	37	number	number	NOUN
ajst-31217	66	38	of	of	ADP
ajst-31217	66	39	medals	medal	NOUN
ajst-31217	66	40	,	,	PUNCT
ajst-31217	66	41	analyze	analyze	VERB
ajst-31217	66	42	the	the	DET
ajst-31217	66	43	regression	regression	NOUN
ajst-31217	66	44	coefficient	coefficient	NOUN
ajst-31217	66	45	of	of	ADP
ajst-31217	66	46	each	each	DET
ajst-31217	66	47	variable	variable	NOUN
ajst-31217	66	48	,	,	PUNCT
ajst-31217	66	49	and	and	CCONJ
ajst-31217	66	50	clearly	clearly	ADV
ajst-31217	66	51	understand	understand	VERB
ajst-31217	66	52	which	which	DET
ajst-31217	66	53	events	event	NOUN
ajst-31217	66	54	have	have	VERB
ajst-31217	66	55	the	the	DET
ajst-31217	66	56	greatest	great	ADJ
ajst-31217	66	57	impact	impact	NOUN
ajst-31217	66	58	on	on	ADP
ajst-31217	66	59	the	the	DET
ajst-31217	66	60	number	number	NOUN
ajst-31217	66	61	of	of	ADP
ajst-31217	66	62	medals	medal	NOUN
ajst-31217	66	63	.	.	PUNCT
ajst-31217	67	1	by	by	ADP
ajst-31217	67	2	comparing	compare	VERB
ajst-31217	67	3	the	the	DET
ajst-31217	67	4	medal	medal	ADJ
ajst-31217	67	5	contributions	contribution	NOUN
ajst-31217	67	6	of	of	ADP
ajst-31217	67	7	different	different	ADJ
ajst-31217	67	8	countries	country	NOUN
ajst-31217	67	9	in	in	ADP
ajst-31217	67	10	various	various	ADJ
ajst-31217	67	11	events	event	NOUN
ajst-31217	67	12	,	,	PUNCT
ajst-31217	67	13	identify	identify	VERB
ajst-31217	67	14	which	which	PRON
ajst-31217	67	15	sports	sport	NOUN
ajst-31217	67	16	have	have	VERB
ajst-31217	67	17	a	a	DET
ajst-31217	67	18	strategic	strategic	ADJ
ajst-31217	67	19	position	position	NOUN
ajst-31217	67	20	in	in	ADP
ajst-31217	67	21	each	each	DET
ajst-31217	67	22	country	country	NOUN
ajst-31217	67	23	.	.	PUNCT
ajst-31217	68	1	analyze	analyze	VERB
ajst-31217	68	2	the	the	DET
ajst-31217	68	3	direct	direct	ADJ
ajst-31217	68	4	impact	impact	NOUN
ajst-31217	68	5	of	of	ADP
ajst-31217	68	6	the	the	DET
ajst-31217	68	7	host	host	NOUN
ajst-31217	68	8	country	country	NOUN
ajst-31217	68	9	's	's	PART
ajst-31217	68	10	choice	choice	NOUN
ajst-31217	68	11	of	of	ADP
ajst-31217	68	12	new	new	ADJ
ajst-31217	68	13	events	event	NOUN
ajst-31217	68	14	or	or	CCONJ
ajst-31217	68	15	focused	focused	ADJ
ajst-31217	68	16	events	event	NOUN
ajst-31217	68	17	on	on	ADP
ajst-31217	68	18	the	the	DET
ajst-31217	68	19	overall	overall	ADJ
ajst-31217	68	20	medal	medal	ADJ
ajst-31217	68	21	distribution	distribution	NOUN
ajst-31217	68	22	.	.	PUNCT
ajst-31217	69	1	b	b	X
ajst-31217	69	2	)	)	PUNCT
ajst-31217	69	3	support	support	NOUN
ajst-31217	69	4	multivariate	multivariate	NOUN
ajst-31217	69	5	analysis	analysis	NOUN
ajst-31217	69	6	the	the	DET
ajst-31217	69	7	model	model	NOUN
ajst-31217	69	8	can	can	AUX
ajst-31217	69	9	simultaneously	simultaneously	ADV
ajst-31217	69	10	consider	consider	VERB
ajst-31217	69	11	the	the	DET
ajst-31217	69	12	interaction	interaction	NOUN
ajst-31217	69	13	between	between	ADP
ajst-31217	69	14	multiple	multiple	ADJ
ajst-31217	69	15	variables	variable	NOUN
ajst-31217	69	16	such	such	ADJ
ajst-31217	69	17	as	as	ADP
ajst-31217	69	18	sports	sport	NOUN
ajst-31217	69	19	,	,	PUNCT
ajst-31217	69	20	events	event	NOUN
ajst-31217	69	21	,	,	PUNCT
ajst-31217	69	22	and	and	CCONJ
ajst-31217	69	23	host	host	NOUN
ajst-31217	69	24	country	country	NOUN
ajst-31217	69	25	identity	identity	NOUN
ajst-31217	69	26	,	,	PUNCT
ajst-31217	69	27	so	so	SCONJ
ajst-31217	69	28	as	as	SCONJ
ajst-31217	69	29	to	to	PART
ajst-31217	69	30	comprehensively	comprehensively	ADV
ajst-31217	69	31	analyze	analyze	VERB
ajst-31217	69	32	how	how	SCONJ
ajst-31217	69	33	these	these	DET
ajst-31217	69	34	factors	factor	NOUN
ajst-31217	69	35	jointly	jointly	ADV
ajst-31217	69	36	affect	affect	VERB
ajst-31217	69	37	the	the	DET
ajst-31217	69	38	medal	medal	ADJ
ajst-31217	69	39	distribution	distribution	NOUN
ajst-31217	69	40	.	.	PUNCT
ajst-31217	70	1	c	c	X
ajst-31217	70	2	)	)	PUNCT
ajst-31217	70	3	one	one	NUM
ajst-31217	70	4	-	-	PUNCT
ajst-31217	70	5	hot	hot	ADJ
ajst-31217	70	6	encoding	encoding	NOUN
ajst-31217	70	7	of	of	ADP
ajst-31217	70	8	sports	sport	NOUN
ajst-31217	70	9	and	and	CCONJ
ajst-31217	70	10	events	event	NOUN
ajst-31217	70	11	,	,	PUNCT
ajst-31217	70	12	extracting	extract	VERB
ajst-31217	70	13	regression	regression	NOUN
ajst-31217	70	14	coefficients	coefficient	NOUN
ajst-31217	70	15	and	and	CCONJ
ajst-31217	70	16	visualization	visualization	NOUN
ajst-31217	70	17	.	.	PUNCT
ajst-31217	71	1	3.2	3.2	NUM
ajst-31217	71	2	.	.	PUNCT
ajst-31217	72	1	visualization	visualization	NOUN
ajst-31217	72	2	data	datum	NOUN
ajst-31217	72	3	visualization	visualization	NOUN
ajst-31217	72	4	presents	present	NOUN
ajst-31217	72	5	numbers	number	NOUN
ajst-31217	72	6	and	and	CCONJ
ajst-31217	72	7	statistical	statistical	ADJ
ajst-31217	72	8	information	information	NOUN
ajst-31217	72	9	in	in	ADP
ajst-31217	72	10	a	a	DET
ajst-31217	72	11	graphical	graphical	ADJ
ajst-31217	72	12	way	way	NOUN
ajst-31217	72	13	,	,	PUNCT
ajst-31217	72	14	which	which	PRON
ajst-31217	72	15	allows	allow	VERB
ajst-31217	72	16	people	people	NOUN
ajst-31217	72	17	to	to	PART
ajst-31217	72	18	quickly	quickly	ADV
ajst-31217	72	19	and	and	CCONJ
ajst-31217	72	20	intuitively	intuitively	ADV
ajst-31217	72	21	understand	understand	VERB
ajst-31217	72	22	complex	complex	ADJ
ajst-31217	72	23	data	datum	NOUN
ajst-31217	72	24	distribution	distribution	NOUN
ajst-31217	72	25	and	and	CCONJ
ajst-31217	72	26	trends	trend	NOUN
ajst-31217	72	27	.	.	PUNCT
ajst-31217	73	1	in	in	ADP
ajst-31217	73	2	this	this	DET
ajst-31217	73	3	question	question	NOUN
ajst-31217	73	4	,	,	PUNCT
ajst-31217	73	5	this	this	DET
ajst-31217	73	6	paper	paper	NOUN
ajst-31217	73	7	mainly	mainly	ADV
ajst-31217	73	8	generates	generate	VERB
ajst-31217	73	9	the	the	DET
ajst-31217	73	10	following	follow	VERB
ajst-31217	73	11	two	two	NUM
ajst-31217	73	12	graphs	graph	NOUN
ajst-31217	73	13	:	:	PUNCT
ajst-31217	73	14	a	a	X
ajst-31217	73	15	)	)	PUNCT
ajst-31217	73	16	total	total	ADJ
ajst-31217	73	17	medals	medal	NOUN
ajst-31217	73	18	of	of	ADP
ajst-31217	73	19	newly	newly	ADV
ajst-31217	73	20	added	add	VERB
ajst-31217	73	21	events	event	NOUN
ajst-31217	73	22	of	of	ADP
ajst-31217	73	23	host	host	NOUN
ajst-31217	73	24	countries	country	NOUN
ajst-31217	73	25	shows	show	VERB
ajst-31217	73	26	the	the	DET
ajst-31217	73	27	total	total	ADJ
ajst-31217	73	28	medals	medal	NOUN
ajst-31217	73	29	won	win	VERB
ajst-31217	73	30	by	by	ADP
ajst-31217	73	31	each	each	DET
ajst-31217	73	32	host	host	NOUN
ajst-31217	73	33	country	country	NOUN
ajst-31217	73	34	in	in	ADP
ajst-31217	73	35	newly	newly	ADV
ajst-31217	73	36	added	add	VERB
ajst-31217	73	37	events	event	NOUN
ajst-31217	73	38	.	.	PUNCT
ajst-31217	74	1	analyze	analyze	VERB
ajst-31217	74	2	the	the	DET
ajst-31217	74	3	performance	performance	NOUN
ajst-31217	74	4	of	of	ADP
ajst-31217	74	5	host	host	NOUN
ajst-31217	74	6	countries	country	NOUN
ajst-31217	74	7	in	in	ADP
ajst-31217	74	8	newly	newly	ADV
ajst-31217	74	9	added	add	VERB
ajst-31217	74	10	events	event	NOUN
ajst-31217	74	11	and	and	CCONJ
ajst-31217	74	12	observe	observe	VERB
ajst-31217	74	13	whether	whether	SCONJ
ajst-31217	74	14	there	there	PRON
ajst-31217	74	15	is	be	VERB
ajst-31217	74	16	a	a	DET
ajst-31217	74	17	trend	trend	NOUN
ajst-31217	74	18	that	that	PRON
ajst-31217	74	19	host	host	NOUN
ajst-31217	74	20	countries	country	NOUN
ajst-31217	74	21	increase	increase	VERB
ajst-31217	74	22	their	their	PRON
ajst-31217	74	23	total	total	ADJ
ajst-31217	74	24	medals	medal	NOUN
ajst-31217	74	25	through	through	ADP
ajst-31217	74	26	newly	newly	ADV
ajst-31217	74	27	added	add	VERB
ajst-31217	74	28	events	event	NOUN
ajst-31217	74	29	.	.	PUNCT
ajst-31217	75	1	b	b	X
ajst-31217	75	2	)	)	PUNCT
ajst-31217	75	3	regression	regression	NOUN
ajst-31217	75	4	coefficient	coefficient	NOUN
ajst-31217	75	5	of	of	ADP
ajst-31217	75	6	linear	linear	PROPN
ajst-31217	75	7	regression	regression	NOUN
ajst-31217	75	8	model	model	NOUN
ajst-31217	75	9	process	process	NOUN
ajst-31217	75	10	sports	sport	NOUN
ajst-31217	75	11	and	and	CCONJ
ajst-31217	75	12	events	event	NOUN
ajst-31217	75	13	through	through	ADP
ajst-31217	75	14	one	one	NUM
ajst-31217	75	15	-	-	PUNCT
ajst-31217	75	16	hot	hot	ADJ
ajst-31217	75	17	encoding	encoding	NOUN
ajst-31217	75	18	,	,	PUNCT
ajst-31217	75	19	fit	fit	ADJ
ajst-31217	75	20	linear	linear	PROPN
ajst-31217	75	21	regression	regression	NOUN
ajst-31217	75	22	model	model	NOUN
ajst-31217	75	23	,	,	PUNCT
ajst-31217	75	24	extract	extract	VERB
ajst-31217	75	25	and	and	CCONJ
ajst-31217	75	26	sort	sort	VERB
ajst-31217	75	27	regression	regression	NOUN
ajst-31217	75	28	coefficients	coefficient	NOUN
ajst-31217	75	29	,	,	PUNCT
ajst-31217	75	30	and	and	CCONJ
ajst-31217	75	31	then	then	ADV
ajst-31217	75	32	display	display	VERB
ajst-31217	75	33	them	they	PRON
ajst-31217	75	34	in	in	ADP
ajst-31217	75	35	bar	bar	NOUN
ajst-31217	75	36	charts	chart	NOUN
ajst-31217	75	37	.	.	PUNCT
ajst-31217	76	1	quantify	quantify	VERB
ajst-31217	76	2	the	the	DET
ajst-31217	76	3	impact	impact	NOUN
ajst-31217	76	4	of	of	ADP
ajst-31217	76	5	different	different	ADJ
ajst-31217	76	6	events	event	NOUN
ajst-31217	76	7	and	and	CCONJ
ajst-31217	76	8	events	event	NOUN
ajst-31217	76	9	on	on	ADP
ajst-31217	76	10	the	the	DET
ajst-31217	76	11	number	number	NOUN
ajst-31217	76	12	of	of	ADP
ajst-31217	76	13	medals	medal	NOUN
ajst-31217	76	14	,	,	PUNCT
ajst-31217	76	15	analyze	analyze	VERB
ajst-31217	76	16	which	which	DET
ajst-31217	76	17	events	event	NOUN
ajst-31217	76	18	are	be	AUX
ajst-31217	76	19	most	most	ADV
ajst-31217	76	20	important	important	ADJ
ajst-31217	76	21	for	for	ADP
ajst-31217	76	22	medal	medal	ADJ
ajst-31217	76	23	distribution	distribution	NOUN
ajst-31217	76	24	,	,	PUNCT
ajst-31217	76	25	and	and	CCONJ
ajst-31217	76	26	the	the	DET
ajst-31217	76	27	impact	impact	NOUN
ajst-31217	76	28	of	of	ADP
ajst-31217	76	29	event	event	NOUN
ajst-31217	76	30	settings	setting	NOUN
ajst-31217	76	31	on	on	ADP
ajst-31217	76	32	the	the	DET
ajst-31217	76	33	results	result	NOUN
ajst-31217	76	34	.	.	PUNCT
ajst-31217	77	1	through	through	ADP
ajst-31217	77	2	visualization	visualization	NOUN
ajst-31217	77	3	,	,	PUNCT
ajst-31217	77	4	data	datum	NOUN
ajst-31217	77	5	analysis	analysis	NOUN
ajst-31217	77	6	has	have	AUX
ajst-31217	77	7	changed	change	VERB
ajst-31217	77	8	from	from	ADP
ajst-31217	77	9	a	a	DET
ajst-31217	77	10	simple	simple	ADJ
ajst-31217	77	11	"	"	PUNCT
ajst-31217	77	12	number	number	NOUN
ajst-31217	77	13	accumulation	accumulation	NOUN
ajst-31217	77	14	"	"	PUNCT
ajst-31217	77	15	to	to	ADP
ajst-31217	77	16	a	a	DET
ajst-31217	77	17	clearer	clear	ADJ
ajst-31217	77	18	,	,	PUNCT
ajst-31217	77	19	more	more	ADV
ajst-31217	77	20	vivid	vivid	ADJ
ajst-31217	77	21	and	and	CCONJ
ajst-31217	77	22	more	more	ADV
ajst-31217	77	23	explanatory	explanatory	ADJ
ajst-31217	77	24	one	one	NUM
ajst-31217	77	25	,	,	PUNCT
ajst-31217	77	26	which	which	PRON
ajst-31217	77	27	can	can	AUX
ajst-31217	77	28	not	not	PART
ajst-31217	77	29	only	only	ADV
ajst-31217	77	30	reveal	reveal	VERB
ajst-31217	77	31	hidden	hide	VERB
ajst-31217	77	32	information	information	NOUN
ajst-31217	77	33	,	,	PUNCT
ajst-31217	77	34	but	but	CCONJ
ajst-31217	77	35	also	also	ADV
ajst-31217	77	36	help	help	VERB
ajst-31217	77	37	decision	decision	NOUN
ajst-31217	77	38	makers	maker	NOUN
ajst-31217	77	39	make	make	VERB
ajst-31217	77	40	effective	effective	ADJ
ajst-31217	77	41	strategic	strategic	ADJ
ajst-31217	77	42	adjustments	adjustment	NOUN
ajst-31217	77	43	quickly	quickly	ADV
ajst-31217	77	44	.	.	PUNCT
ajst-31217	78	1	3.3	3.3	NUM
ajst-31217	78	2	.	.	PUNCT
ajst-31217	79	1	the	the	DET
ajst-31217	79	2	solution	solution	NOUN
ajst-31217	79	3	of	of	ADP
ajst-31217	79	4	model	model	NOUN
ajst-31217	79	5	as	as	SCONJ
ajst-31217	79	6	shown	show	VERB
ajst-31217	79	7	in	in	ADP
ajst-31217	79	8	figure	figure	NOUN
ajst-31217	79	9	2	2	NUM
ajst-31217	79	10	,	,	PUNCT
ajst-31217	79	11	the	the	DET
ajst-31217	79	12	number	number	NOUN
ajst-31217	79	13	of	of	ADP
ajst-31217	79	14	medals	medal	NOUN
ajst-31217	79	15	won	win	VERB
ajst-31217	79	16	by	by	ADP
ajst-31217	79	17	the	the	DET
ajst-31217	79	18	host	host	NOUN
ajst-31217	79	19	country	country	NOUN
ajst-31217	79	20	is	be	AUX
ajst-31217	79	21	generally	generally	ADV
ajst-31217	79	22	higher	high	ADJ
ajst-31217	79	23	than	than	ADP
ajst-31217	79	24	that	that	PRON
ajst-31217	79	25	of	of	ADP
ajst-31217	79	26	the	the	DET
ajst-31217	79	27	non	non	ADJ
ajst-31217	79	28	-	-	ADJ
ajst-31217	79	29	host	host	ADJ
ajst-31217	79	30	country	country	NOUN
ajst-31217	79	31	,	,	PUNCT
ajst-31217	79	32	for	for	ADP
ajst-31217	79	33	example	example	NOUN
ajst-31217	79	34	,	,	PUNCT
ajst-31217	79	35	the	the	DET
ajst-31217	79	36	number	number	NOUN
ajst-31217	79	37	of	of	ADP
ajst-31217	79	38	medals	medal	NOUN
ajst-31217	79	39	won	win	VERB
ajst-31217	79	40	by	by	ADP
ajst-31217	79	41	the	the	DET
ajst-31217	79	42	united	united	PROPN
ajst-31217	79	43	states	states	PROPN
ajst-31217	79	44	as	as	SCONJ
ajst-31217	79	45	the	the	DET
ajst-31217	79	46	host	host	NOUN
ajst-31217	79	47	country	country	NOUN
ajst-31217	79	48	is	be	AUX
ajst-31217	79	49	more	more	ADJ
ajst-31217	79	50	than	than	ADP
ajst-31217	79	51	2,000	2,000	NUM
ajst-31217	79	52	,	,	PUNCT
ajst-31217	79	53	which	which	PRON
ajst-31217	79	54	shows	show	VERB
ajst-31217	79	55	that	that	SCONJ
ajst-31217	79	56	the	the	DET
ajst-31217	79	57	home	home	NOUN
ajst-31217	79	58	field	field	NOUN
ajst-31217	79	59	advantage	advantage	NOUN
ajst-31217	79	60	has	have	VERB
ajst-31217	79	61	a	a	DET
ajst-31217	79	62	significant	significant	ADJ
ajst-31217	79	63	effect	effect	NOUN
ajst-31217	79	64	on	on	ADP
ajst-31217	79	65	the	the	DET
ajst-31217	79	66	new	new	ADJ
ajst-31217	79	67	items	item	NOUN
ajst-31217	79	68	,	,	PUNCT
ajst-31217	79	69	and	and	CCONJ
ajst-31217	79	70	at	at	ADP
ajst-31217	79	71	the	the	DET
ajst-31217	79	72	same	same	ADJ
ajst-31217	79	73	time	time	NOUN
ajst-31217	79	74	,	,	PUNCT
ajst-31217	79	75	it	it	PRON
ajst-31217	79	76	also	also	ADV
ajst-31217	79	77	reflects	reflect	VERB
ajst-31217	79	78	that	that	SCONJ
ajst-31217	79	79	the	the	DET
ajst-31217	79	80	host	host	NOUN
ajst-31217	79	81	country	country	NOUN
ajst-31217	79	82	is	be	AUX
ajst-31217	79	83	able	able	ADJ
ajst-31217	79	84	to	to	PART
ajst-31217	79	85	optimise	optimise	VERB
ajst-31217	79	86	the	the	DET
ajst-31217	79	87	distribution	distribution	NOUN
ajst-31217	79	88	of	of	ADP
ajst-31217	79	89	its	its	PRON
ajst-31217	79	90	own	own	ADJ
ajst-31217	79	91	medals	medal	NOUN
ajst-31217	79	92	by	by	ADP
ajst-31217	79	93	virtue	virtue	NOUN
ajst-31217	79	94	of	of	ADP
ajst-31217	79	95	the	the	DET
ajst-31217	79	96	right	right	NOUN
ajst-31217	79	97	to	to	PART
ajst-31217	79	98	set	set	VERB
ajst-31217	79	99	up	up	ADP
ajst-31217	79	100	its	its	PRON
ajst-31217	79	101	own	own	ADJ
ajst-31217	79	102	items	item	NOUN
ajst-31217	79	103	in	in	ADP
ajst-31217	79	104	the	the	DET
ajst-31217	79	105	tournament	tournament	NOUN
ajst-31217	79	106	and	and	CCONJ
ajst-31217	79	107	make	make	VERB
ajst-31217	79	108	a	a	DET
ajst-31217	79	109	reasonable	reasonable	ADJ
ajst-31217	79	110	layout	layout	NOUN
ajst-31217	79	111	.	.	PUNCT
ajst-31217	80	1	figure	figure	NOUN
ajst-31217	80	2	2	2	NUM
ajst-31217	80	3	.	.	PUNCT
ajst-31217	80	4	total	total	ADJ
ajst-31217	80	5	medals	medal	NOUN
ajst-31217	80	6	of	of	ADP
ajst-31217	80	7	newly	newly	ADV
ajst-31217	80	8	added	add	VERB
ajst-31217	80	9	events	event	NOUN
ajst-31217	80	10	of	of	ADP
ajst-31217	80	11	host	host	NOUN
ajst-31217	80	12	countries	country	NOUN
ajst-31217	80	13	89	89	NUM
ajst-31217	80	14	figure	figure	NOUN
ajst-31217	80	15	3	3	NUM
ajst-31217	80	16	.	.	PUNCT
ajst-31217	80	17	top	top	ADJ
ajst-31217	80	18	10	10	NUM
ajst-31217	80	19	and	and	CCONJ
ajst-31217	80	20	bottom	bottom	ADJ
ajst-31217	80	21	10	10	NUM
ajst-31217	80	22	regression	regression	NOUN
ajst-31217	80	23	coefficients	coefficient	NOUN
ajst-31217	80	24	figure	figure	VERB
ajst-31217	80	25	3	3	NUM
ajst-31217	80	26	shows	show	VERB
ajst-31217	80	27	that	that	SCONJ
ajst-31217	80	28	the	the	DET
ajst-31217	80	29	top	top	ADJ
ajst-31217	80	30	10	10	NUM
ajst-31217	80	31	high	high	ADJ
ajst-31217	80	32	contributing	contribute	VERB
ajst-31217	80	33	sports	sport	NOUN
ajst-31217	80	34	are	be	AUX
ajst-31217	80	35	mostly	mostly	ADV
ajst-31217	80	36	team	team	NOUN
ajst-31217	80	37	sports	sport	NOUN
ajst-31217	80	38	and	and	CCONJ
ajst-31217	80	39	sports	sport	NOUN
ajst-31217	80	40	with	with	ADP
ajst-31217	80	41	high	high	ADJ
ajst-31217	80	42	popularity	popularity	NOUN
ajst-31217	80	43	,	,	PUNCT
ajst-31217	80	44	such	such	ADJ
ajst-31217	80	45	as	as	ADP
ajst-31217	80	46	football	football	NOUN
ajst-31217	80	47	,	,	PUNCT
ajst-31217	80	48	basketball	basketball	NOUN
ajst-31217	80	49	,	,	PUNCT
ajst-31217	80	50	etc	etc	X
ajst-31217	80	51	.	.	X
ajst-31217	80	52	,	,	PUNCT
ajst-31217	80	53	and	and	CCONJ
ajst-31217	80	54	their	their	PRON
ajst-31217	80	55	regression	regression	NOUN
ajst-31217	80	56	coefficients	coefficient	NOUN
ajst-31217	80	57	are	be	AUX
ajst-31217	80	58	concentrated	concentrate	VERB
ajst-31217	80	59	in	in	ADP
ajst-31217	80	60	the	the	DET
ajst-31217	80	61	range	range	NOUN
ajst-31217	80	62	of	of	ADP
ajst-31217	80	63	0.008	0.008	NUM
ajst-31217	80	64	0.01	0.01	NUM
ajst-31217	80	65	;	;	PUNCT
ajst-31217	80	66	while	while	SCONJ
ajst-31217	80	67	the	the	DET
ajst-31217	80	68	bottom	bottom	ADJ
ajst-31217	80	69	10	10	NUM
ajst-31217	80	70	low	low	ADJ
ajst-31217	80	71	contributing	contribute	VERB
ajst-31217	80	72	sports	sport	NOUN
ajst-31217	80	73	are	be	AUX
ajst-31217	80	74	mostly	mostly	ADV
ajst-31217	80	75	more	more	ADV
ajst-31217	80	76	technical	technical	ADJ
ajst-31217	80	77	or	or	CCONJ
ajst-31217	80	78	niche	niche	NOUN
ajst-31217	80	79	sports	sport	NOUN
ajst-31217	80	80	,	,	PUNCT
ajst-31217	80	81	such	such	ADJ
ajst-31217	80	82	as	as	ADP
ajst-31217	80	83	artistic	artistic	ADJ
ajst-31217	80	84	gymnastics	gymnastic	NOUN
ajst-31217	80	85	,	,	PUNCT
ajst-31217	80	86	modern	modern	ADJ
ajst-31217	80	87	pentathlon	pentathlon	NOUN
ajst-31217	80	88	,	,	PUNCT
ajst-31217	80	89	etc	etc	X
ajst-31217	80	90	.	.	X
ajst-31217	80	91	,	,	PUNCT
ajst-31217	80	92	whose	whose	DET
ajst-31217	80	93	regression	regression	NOUN
ajst-31217	80	94	coefficients	coefficient	NOUN
ajst-31217	80	95	are	be	AUX
ajst-31217	80	96	negative	negative	ADJ
ajst-31217	80	97	.	.	PUNCT
ajst-31217	81	1	this	this	DET
ajst-31217	81	2	visualisation	visualisation	NOUN
ajst-31217	81	3	shows	show	VERB
ajst-31217	81	4	the	the	DET
ajst-31217	81	5	strategic	strategic	ADJ
ajst-31217	81	6	value	value	NOUN
ajst-31217	81	7	of	of	ADP
ajst-31217	81	8	different	different	ADJ
ajst-31217	81	9	events	event	NOUN
ajst-31217	81	10	in	in	ADP
ajst-31217	81	11	terms	term	NOUN
ajst-31217	81	12	of	of	ADP
ajst-31217	81	13	medal	medal	ADJ
ajst-31217	81	14	winning	winning	NOUN
ajst-31217	81	15	,	,	PUNCT
ajst-31217	81	16	and	and	CCONJ
ajst-31217	81	17	provides	provide	VERB
ajst-31217	81	18	a	a	DET
ajst-31217	81	19	valuable	valuable	ADJ
ajst-31217	81	20	reference	reference	NOUN
ajst-31217	81	21	for	for	ADP
ajst-31217	81	22	decision	decision	NOUN
ajst-31217	81	23	makers	maker	NOUN
ajst-31217	81	24	in	in	ADP
ajst-31217	81	25	resource	resource	NOUN
ajst-31217	81	26	allocation	allocation	NOUN
ajst-31217	81	27	,	,	PUNCT
ajst-31217	81	28	such	such	ADJ
ajst-31217	81	29	as	as	ADP
ajst-31217	81	30	prioritizing	prioritize	VERB
ajst-31217	81	31	investment	investment	NOUN
ajst-31217	81	32	in	in	ADP
ajst-31217	81	33	high	high	ADJ
ajst-31217	81	34	coefficient	coefficient	NOUN
ajst-31217	81	35	events	event	NOUN
ajst-31217	81	36	when	when	SCONJ
ajst-31217	81	37	resources	resource	NOUN
ajst-31217	81	38	are	be	AUX
ajst-31217	81	39	limited	limited	ADJ
ajst-31217	81	40	.	.	PUNCT
ajst-31217	82	1	4	4	X
ajst-31217	82	2	.	.	X
ajst-31217	82	3	"	"	PUNCT
ajst-31217	82	4	great	great	ADJ
ajst-31217	82	5	coach	coach	NOUN
ajst-31217	82	6	"	"	PUNCT
ajst-31217	82	7	analysis	analysis	NOUN
ajst-31217	82	8	4.1	4.1	NUM
ajst-31217	82	9	.	.	PUNCT
ajst-31217	83	1	shap	shap	PROPN
ajst-31217	83	2	model	model	NOUN
ajst-31217	83	3	description	description	NOUN
ajst-31217	83	4	shap	shap	PROPN
ajst-31217	83	5	is	be	AUX
ajst-31217	83	6	a	a	DET
ajst-31217	83	7	method	method	NOUN
ajst-31217	83	8	for	for	ADP
ajst-31217	83	9	interpreting	interpret	VERB
ajst-31217	83	10	machine	machine	NOUN
ajst-31217	83	11	learning	learning	NOUN
ajst-31217	83	12	model	model	NOUN
ajst-31217	83	13	predictions	prediction	NOUN
ajst-31217	83	14	based	base	VERB
ajst-31217	83	15	on	on	ADP
ajst-31217	83	16	shapley	shapley	ADJ
ajst-31217	83	17	values	value	NOUN
ajst-31217	83	18	from	from	ADP
ajst-31217	83	19	game	game	NOUN
ajst-31217	83	20	theory	theory	NOUN
ajst-31217	83	21	.	.	PUNCT
ajst-31217	84	1	it	it	PRON
ajst-31217	84	2	evaluates	evaluate	VERB
ajst-31217	84	3	each	each	DET
ajst-31217	84	4	feature	feature	NOUN
ajst-31217	84	5	's	's	PART
ajst-31217	84	6	contribution	contribution	NOUN
ajst-31217	84	7	to	to	ADP
ajst-31217	84	8	the	the	DET
ajst-31217	84	9	model	model	NOUN
ajst-31217	84	10	's	's	PART
ajst-31217	84	11	output	output	NOUN
ajst-31217	84	12	,	,	PUNCT
ajst-31217	84	13	improving	improve	VERB
ajst-31217	84	14	model	model	NOUN
ajst-31217	84	15	interpretability	interpretability	NOUN
ajst-31217	84	16	and	and	CCONJ
ajst-31217	84	17	transparency	transparency	NOUN
ajst-31217	84	18	.	.	PUNCT
ajst-31217	85	1	shap	shap	PROPN
ajst-31217	85	2	helps	help	VERB
ajst-31217	85	3	explain	explain	VERB
ajst-31217	85	4	both	both	CCONJ
ajst-31217	85	5	the	the	DET
ajst-31217	85	6	overall	overall	ADJ
ajst-31217	85	7	behavior	behavior	NOUN
ajst-31217	85	8	of	of	ADP
ajst-31217	85	9	the	the	DET
ajst-31217	85	10	model	model	NOUN
ajst-31217	85	11	(	(	PUNCT
ajst-31217	85	12	global	global	ADJ
ajst-31217	85	13	interpretation	interpretation	NOUN
ajst-31217	85	14	)	)	PUNCT
ajst-31217	85	15	and	and	CCONJ
ajst-31217	85	16	the	the	DET
ajst-31217	85	17	results	result	NOUN
ajst-31217	85	18	of	of	ADP
ajst-31217	85	19	individual	individual	ADJ
ajst-31217	85	20	predictions	prediction	NOUN
ajst-31217	85	21	(	(	PUNCT
ajst-31217	85	22	local	local	ADJ
ajst-31217	85	23	interpretation	interpretation	NOUN
ajst-31217	85	24	)	)	PUNCT
ajst-31217	85	25	.	.	PUNCT
ajst-31217	86	1	by	by	ADP
ajst-31217	86	2	enhancing	enhance	VERB
ajst-31217	86	3	model	model	NOUN
ajst-31217	86	4	trust	trust	PROPN
ajst-31217	86	5	,	,	PUNCT
ajst-31217	86	6	detecting	detect	VERB
ajst-31217	86	7	biases	bias	NOUN
ajst-31217	86	8	,	,	PUNCT
ajst-31217	86	9	and	and	CCONJ
ajst-31217	86	10	improving	improve	VERB
ajst-31217	86	11	clarity	clarity	NOUN
ajst-31217	86	12	,	,	PUNCT
ajst-31217	86	13	shap	shap	PROPN
ajst-31217	86	14	is	be	AUX
ajst-31217	86	15	particularly	particularly	ADV
ajst-31217	86	16	useful	useful	ADJ
ajst-31217	86	17	with	with	ADP
ajst-31217	86	18	blackbox	blackbox	NOUN
ajst-31217	86	19	models	model	NOUN
ajst-31217	86	20	.	.	PUNCT
ajst-31217	87	1	the	the	DET
ajst-31217	87	2	core	core	NOUN
ajst-31217	87	3	of	of	ADP
ajst-31217	87	4	shap	shap	PROPN
ajst-31217	87	5	is	be	AUX
ajst-31217	87	6	the	the	DET
ajst-31217	87	7	shapley	shapley	ADJ
ajst-31217	87	8	value	value	NOUN
ajst-31217	87	9	,	,	PUNCT
ajst-31217	87	10	which	which	PRON
ajst-31217	87	11	is	be	AUX
ajst-31217	87	12	calculated	calculate	VERB
ajst-31217	87	13	as	as	ADP
ajst-31217	87	14	:	:	PUNCT
ajst-31217	87	15	\	\	PROPN
ajst-31217	87	16	{	{	PUNCT
ajst-31217	87	17	}	}	PUNCT
ajst-31217	87	18	|	|	ADV
ajst-31217	87	19	|	|	ADV
ajst-31217	87	20	!	!	PUNCT
ajst-31217	88	1	(	(	PUNCT
ajst-31217	88	2	|	|	ADV
ajst-31217	88	3	|	|	ADV
ajst-31217	88	4	|	|	ADV
ajst-31217	88	5	|	|	ADV
ajst-31217	88	6	1	1	NUM
ajst-31217	88	7	)	)	PUNCT
ajst-31217	88	8	!	!	PUNCT
ajst-31217	89	1	(	(	PUNCT
ajst-31217	89	2	)	)	PUNCT
ajst-31217	89	3	[	[	PUNCT
ajst-31217	89	4	(	(	PUNCT
ajst-31217	89	5	{	{	PUNCT
ajst-31217	89	6	}	}	PUNCT
ajst-31217	89	7	)	)	PUNCT
ajst-31217	89	8	(	(	PUNCT
ajst-31217	89	9	)	)	PUNCT
ajst-31217	89	10	]	]	PUNCT
ajst-31217	90	1	|	|	ADV
ajst-31217	90	2	|	|	ADV
ajst-31217	90	3	!	!	PUNCT
ajst-31217	91	1	i	i	PRON
ajst-31217	91	2	s	s	VERB
ajst-31217	91	3	n	n	ADV
ajst-31217	92	1	i	i	PRON
ajst-31217	92	2	s	s	VERB
ajst-31217	92	3	n	n	PRON
ajst-31217	92	4	s	s	NOUN
ajst-31217	92	5	v	v	NOUN
ajst-31217	92	6	v	v	NOUN
ajst-31217	92	7	s	s	NOUN
ajst-31217	92	8	i	i	INTJ
ajst-31217	92	9	v	v	NOUN
ajst-31217	92	10	s	s	PART
ajst-31217	92	11	n	n	NOUN
ajst-31217	92	12			NOUN
ajst-31217	92	13			PROPN
ajst-31217	92	14			PROPN
ajst-31217	92	15			PROPN
ajst-31217	92	16			PROPN
ajst-31217	92	17			NOUN
ajst-31217	93	1			PROPN
ajst-31217	93	2	(	(	PUNCT
ajst-31217	93	3	3	3	X
ajst-31217	93	4	)	)	PUNCT
ajst-31217	93	5	shap	shap	NOUN
ajst-31217	93	6	works	work	VERB
ajst-31217	93	7	in	in	ADP
ajst-31217	93	8	the	the	DET
ajst-31217	93	9	following	follow	VERB
ajst-31217	93	10	steps	step	NOUN
ajst-31217	93	11	:	:	PUNCT
ajst-31217	93	12	a	a	X
ajst-31217	93	13	)	)	PUNCT
ajst-31217	93	14	model	model	NOUN
ajst-31217	93	15	training	training	NOUN
ajst-31217	93	16	:	:	PUNCT
ajst-31217	93	17	train	train	VERB
ajst-31217	93	18	the	the	DET
ajst-31217	93	19	machine	machine	NOUN
ajst-31217	93	20	learning	learn	VERB
ajst-31217	93	21	model	model	NOUN
ajst-31217	93	22	.	.	PUNCT
ajst-31217	94	1	b	b	X
ajst-31217	94	2	)	)	PUNCT
ajst-31217	94	3	shapley	shapley	NOUN
ajst-31217	94	4	value	value	NOUN
ajst-31217	94	5	calculation	calculation	NOUN
ajst-31217	94	6	:	:	PUNCT
ajst-31217	94	7	for	for	ADP
ajst-31217	94	8	each	each	DET
ajst-31217	94	9	sample	sample	NOUN
ajst-31217	94	10	,	,	PUNCT
ajst-31217	94	11	calculate	calculate	VERB
ajst-31217	94	12	the	the	DET
ajst-31217	94	13	shapley	shapley	ADJ
ajst-31217	94	14	value	value	NOUN
ajst-31217	94	15	of	of	ADP
ajst-31217	94	16	each	each	DET
ajst-31217	94	17	feature	feature	NOUN
ajst-31217	94	18	to	to	PART
ajst-31217	94	19	measure	measure	VERB
ajst-31217	94	20	its	its	PRON
ajst-31217	94	21	contribution	contribution	NOUN
ajst-31217	94	22	to	to	ADP
ajst-31217	94	23	the	the	DET
ajst-31217	94	24	prediction	prediction	NOUN
ajst-31217	94	25	.	.	PUNCT
ajst-31217	95	1	c	c	X
ajst-31217	95	2	)	)	PUNCT
ajst-31217	95	3	local	local	ADJ
ajst-31217	95	4	interpretation	interpretation	NOUN
ajst-31217	95	5	:	:	PUNCT
ajst-31217	95	6	for	for	ADP
ajst-31217	95	7	a	a	DET
ajst-31217	95	8	single	single	ADJ
ajst-31217	95	9	prediction	prediction	NOUN
ajst-31217	95	10	,	,	PUNCT
ajst-31217	95	11	shap	shap	PROPN
ajst-31217	95	12	explains	explain	VERB
ajst-31217	95	13	how	how	SCONJ
ajst-31217	95	14	each	each	DET
ajst-31217	95	15	feature	feature	NOUN
ajst-31217	95	16	affects	affect	VERB
ajst-31217	95	17	the	the	DET
ajst-31217	95	18	outcome	outcome	NOUN
ajst-31217	95	19	.	.	PUNCT
ajst-31217	96	1	d	d	X
ajst-31217	96	2	)	)	PUNCT
ajst-31217	96	3	global	global	ADJ
ajst-31217	96	4	interpretation	interpretation	NOUN
ajst-31217	96	5	:	:	PUNCT
ajst-31217	96	6	aggregate	aggregate	VERB
ajst-31217	96	7	shapley	shapley	ADJ
ajst-31217	96	8	values	value	NOUN
ajst-31217	96	9	across	across	ADP
ajst-31217	96	10	all	all	DET
ajst-31217	96	11	samples	sample	NOUN
ajst-31217	96	12	to	to	PART
ajst-31217	96	13	identify	identify	VERB
ajst-31217	96	14	the	the	DET
ajst-31217	96	15	most	most	ADV
ajst-31217	96	16	important	important	ADJ
ajst-31217	96	17	features	feature	NOUN
ajst-31217	96	18	.	.	PUNCT
ajst-31217	97	1	e	e	X
ajst-31217	97	2	)	)	PUNCT
ajst-31217	97	3	visualization	visualization	NOUN
ajst-31217	97	4	:	:	PUNCT
ajst-31217	97	5	use	use	VERB
ajst-31217	97	6	visual	visual	ADJ
ajst-31217	97	7	tools	tool	NOUN
ajst-31217	97	8	like	like	ADP
ajst-31217	97	9	bar	bar	NOUN
ajst-31217	97	10	charts	chart	NOUN
ajst-31217	97	11	,	,	PUNCT
ajst-31217	97	12	dependency	dependency	NOUN
ajst-31217	97	13	charts	chart	NOUN
ajst-31217	97	14	,	,	PUNCT
ajst-31217	97	15	and	and	CCONJ
ajst-31217	97	16	force	force	VERB
ajst-31217	97	17	diagrams	diagram	NOUN
ajst-31217	97	18	to	to	PART
ajst-31217	97	19	show	show	VERB
ajst-31217	97	20	the	the	DET
ajst-31217	97	21	impact	impact	NOUN
ajst-31217	97	22	of	of	ADP
ajst-31217	97	23	each	each	DET
ajst-31217	97	24	feature	feature	NOUN
ajst-31217	97	25	on	on	ADP
ajst-31217	97	26	the	the	DET
ajst-31217	97	27	model	model	NOUN
ajst-31217	97	28	’s	’s	PART
ajst-31217	97	29	output	output	NOUN
ajst-31217	97	30	.	.	PUNCT
ajst-31217	98	1	4.2	4.2	NUM
ajst-31217	98	2	.	.	PUNCT
ajst-31217	99	1	the	the	DET
ajst-31217	99	2	establishment	establishment	NOUN
ajst-31217	99	3	of	of	ADP
ajst-31217	99	4	gradient	gradient	ADJ
ajst-31217	99	5	boosting	boost	VERB
ajst-31217	99	6	tree	tree	NOUN
ajst-31217	99	7	(	(	PUNCT
ajst-31217	99	8	1	1	NUM
ajst-31217	99	9	)	)	PUNCT
ajst-31217	99	10	feature	feature	NOUN
ajst-31217	99	11	engineering	engineering	NOUN
ajst-31217	99	12	construction	construction	NOUN
ajst-31217	99	13	a	a	DET
ajst-31217	99	14	)	)	PUNCT
ajst-31217	99	15	country	country	NOUN
ajst-31217	99	16	codes	code	NOUN
ajst-31217	99	17	:	:	PUNCT
ajst-31217	99	18	converts	convert	VERB
ajst-31217	99	19	country	country	NOUN
ajst-31217	99	20	codes	code	NOUN
ajst-31217	99	21	(	(	PUNCT
ajst-31217	99	22	nocs	noc	NOUN
ajst-31217	99	23	)	)	PUNCT
ajst-31217	99	24	into	into	ADP
ajst-31217	99	25	numeric	numeric	ADJ
ajst-31217	99	26	data	datum	NOUN
ajst-31217	99	27	.	.	PUNCT
ajst-31217	100	1	using	use	VERB
ajst-31217	100	2	the	the	DET
ajst-31217	100	3	astype	astype	NOUN
ajst-31217	100	4	(	(	PUNCT
ajst-31217	100	5	'	'	PUNCT
ajst-31217	100	6	category').cat.codes	category').cat.codes	X
ajst-31217	100	7	method	method	NOUN
ajst-31217	100	8	,	,	PUNCT
ajst-31217	100	9	a	a	DET
ajst-31217	100	10	unique	unique	ADJ
ajst-31217	100	11	integer	integer	NOUN
ajst-31217	100	12	code	code	NOUN
ajst-31217	100	13	is	be	AUX
ajst-31217	100	14	assigned	assign	VERB
ajst-31217	100	15	to	to	ADP
ajst-31217	100	16	each	each	DET
ajst-31217	100	17	country	country	NOUN
ajst-31217	100	18	,	,	PUNCT
ajst-31217	100	19	helping	help	VERB
ajst-31217	100	20	the	the	DET
ajst-31217	100	21	machine	machine	NOUN
ajst-31217	100	22	learning	learn	VERB
ajst-31217	100	23	model	model	NOUN
ajst-31217	100	24	process	process	NOUN
ajst-31217	100	25	these	these	DET
ajst-31217	100	26	categorical	categorical	ADJ
ajst-31217	100	27	data	datum	NOUN
ajst-31217	100	28	.	.	PUNCT
ajst-31217	101	1	b	b	X
ajst-31217	101	2	)	)	PUNCT
ajst-31217	101	3	coach	coach	NOUN
ajst-31217	101	4	information	information	NOUN
ajst-31217	101	5	:	:	PUNCT
ajst-31217	101	6	each	each	DET
ajst-31217	101	7	athlete	athlete	NOUN
ajst-31217	101	8	is	be	AUX
ajst-31217	101	9	randomly	randomly	ADV
ajst-31217	101	10	assigned	assign	VERB
ajst-31217	101	11	a	a	DET
ajst-31217	101	12	coach	coach	NOUN
ajst-31217	101	13	(	(	PUNCT
ajst-31217	101	14	assuming	assume	VERB
ajst-31217	101	15	there	there	PRON
ajst-31217	101	16	are	be	VERB
ajst-31217	101	17	four	four	NUM
ajst-31217	101	18	coaches	coach	NOUN
ajst-31217	101	19	)	)	PUNCT
ajst-31217	101	20	,	,	PUNCT
ajst-31217	101	21	and	and	CCONJ
ajst-31217	101	22	each	each	DET
ajst-31217	101	23	coach	coach	NOUN
ajst-31217	101	24	has	have	AUX
ajst-31217	101	25	randomly	randomly	ADV
ajst-31217	101	26	generated	generate	VERB
ajst-31217	101	27	years	year	NOUN
ajst-31217	101	28	of	of	ADP
ajst-31217	101	29	experience	experience	NOUN
ajst-31217	101	30	and	and	CCONJ
ajst-31217	101	31	performance	performance	NOUN
ajst-31217	101	32	ratings	rating	NOUN
ajst-31217	101	33	.	.	PUNCT
ajst-31217	102	1	these	these	DET
ajst-31217	102	2	features	feature	NOUN
ajst-31217	102	3	help	help	VERB
ajst-31217	102	4	capture	capture	VERB
ajst-31217	102	5	the	the	DET
ajst-31217	102	6	potential	potential	ADJ
ajst-31217	102	7	impact	impact	NOUN
ajst-31217	102	8	of	of	ADP
ajst-31217	102	9	coaches	coach	NOUN
ajst-31217	102	10	on	on	ADP
ajst-31217	102	11	athletes	athlete	NOUN
ajst-31217	102	12	'	'	PART
ajst-31217	102	13	performance	performance	NOUN
ajst-31217	102	14	.	.	PUNCT
ajst-31217	103	1	specifically	specifically	ADV
ajst-31217	103	2	:	:	PUNCT
ajst-31217	103	3	c	c	X
ajst-31217	103	4	)	)	PUNCT
ajst-31217	103	5	coach	coach	NOUN
ajst-31217	103	6	assignment	assignment	NOUN
ajst-31217	103	7	:	:	PUNCT
ajst-31217	103	8	the	the	DET
ajst-31217	103	9	np.random.choice	np.random.choice	PROPN
ajst-31217	103	10	function	function	NOUN
ajst-31217	103	11	is	be	AUX
ajst-31217	103	12	used	use	VERB
ajst-31217	103	13	to	to	PART
ajst-31217	103	14	randomly	randomly	ADV
ajst-31217	103	15	assign	assign	VERB
ajst-31217	103	16	a	a	DET
ajst-31217	103	17	coach	coach	NOUN
ajst-31217	103	18	to	to	ADP
ajst-31217	103	19	each	each	DET
ajst-31217	103	20	athlete	athlete	NOUN
ajst-31217	103	21	,	,	PUNCT
ajst-31217	103	22	simulating	simulate	VERB
ajst-31217	103	23	the	the	DET
ajst-31217	103	24	impact	impact	NOUN
ajst-31217	103	25	of	of	ADP
ajst-31217	103	26	different	different	ADJ
ajst-31217	103	27	coaches	coach	NOUN
ajst-31217	103	28	on	on	ADP
ajst-31217	103	29	athlete	athlete	NOUN
ajst-31217	103	30	performance	performance	NOUN
ajst-31217	103	31	.	.	PUNCT
ajst-31217	104	1	d	d	X
ajst-31217	104	2	)	)	PUNCT
ajst-31217	104	3	coaching	coach	VERB
ajst-31217	104	4	experience	experience	NOUN
ajst-31217	104	5	:	:	PUNCT
ajst-31217	104	6	each	each	DET
ajst-31217	104	7	coach	coach	NOUN
ajst-31217	104	8	is	be	AUX
ajst-31217	104	9	assigned	assign	VERB
ajst-31217	104	10	a	a	DET
ajst-31217	104	11	random	random	ADJ
ajst-31217	104	12	number	number	NOUN
ajst-31217	104	13	of	of	ADP
ajst-31217	104	14	years	year	NOUN
ajst-31217	104	15	of	of	ADP
ajst-31217	104	16	experience	experience	NOUN
ajst-31217	104	17	ranging	range	VERB
ajst-31217	104	18	from	from	ADP
ajst-31217	104	19	1	1	NUM
ajst-31217	104	20	to	to	PART
ajst-31217	104	21	20	20	NUM
ajst-31217	104	22	years	year	NOUN
ajst-31217	104	23	.	.	PUNCT
ajst-31217	105	1	e	e	X
ajst-31217	105	2	)	)	PUNCT
ajst-31217	105	3	coaching	coach	VERB
ajst-31217	105	4	performance	performance	NOUN
ajst-31217	105	5	:	:	PUNCT
ajst-31217	105	6	each	each	DET
ajst-31217	105	7	athlete	athlete	NOUN
ajst-31217	105	8	is	be	AUX
ajst-31217	105	9	randomly	randomly	ADV
ajst-31217	105	10	assigned	assign	VERB
ajst-31217	105	11	a	a	DET
ajst-31217	105	12	coaching	coaching	NOUN
ajst-31217	105	13	performance	performance	NOUN
ajst-31217	105	14	score	score	NOUN
ajst-31217	105	15	between	between	ADP
ajst-31217	105	16	0	0	NUM
ajst-31217	105	17	and	and	CCONJ
ajst-31217	105	18	1	1	NUM
ajst-31217	105	19	,	,	PUNCT
ajst-31217	105	20	indicating	indicate	VERB
ajst-31217	105	21	the	the	DET
ajst-31217	105	22	coach	coach	NOUN
ajst-31217	105	23	's	's	PART
ajst-31217	105	24	performance	performance	NOUN
ajst-31217	105	25	(	(	PUNCT
ajst-31217	105	26	e.g.	e.g.	ADV
ajst-31217	105	27	,	,	PUNCT
ajst-31217	105	28	based	base	VERB
ajst-31217	105	29	on	on	ADP
ajst-31217	105	30	the	the	DET
ajst-31217	105	31	performance	performance	NOUN
ajst-31217	105	32	of	of	ADP
ajst-31217	105	33	the	the	DET
ajst-31217	105	34	team	team	NOUN
ajst-31217	105	35	they	they	PRON
ajst-31217	105	36	lead	lead	VERB
ajst-31217	105	37	)	)	PUNCT
ajst-31217	105	38	.	.	PUNCT
ajst-31217	106	1	(	(	PUNCT
ajst-31217	106	2	2	2	X
ajst-31217	106	3	)	)	PUNCT
ajst-31217	106	4	interpretable	interpretable	ADJ
ajst-31217	106	5	modeling	modeling	NOUN
ajst-31217	106	6	based	base	VERB
ajst-31217	106	7	on	on	ADP
ajst-31217	106	8	gradient	gradient	NOUN
ajst-31217	106	9	boosted	boost	VERB
ajst-31217	106	10	trees	tree	NOUN
ajst-31217	106	11	gradient	gradient	ADJ
ajst-31217	106	12	boosting	boost	VERB
ajst-31217	106	13	regression	regression	NOUN
ajst-31217	106	14	is	be	AUX
ajst-31217	106	15	a	a	DET
ajst-31217	106	16	regression	regression	NOUN
ajst-31217	106	17	model	model	NOUN
ajst-31217	106	18	based	base	VERB
ajst-31217	106	19	on	on	ADP
ajst-31217	106	20	the	the	DET
ajst-31217	106	21	gradient	gradient	NOUN
ajst-31217	106	22	boosting	boost	VERB
ajst-31217	106	23	trees	tree	NOUN
ajst-31217	106	24	(	(	PUNCT
ajst-31217	106	25	gbt	gbt	NOUN
ajst-31217	106	26	)	)	PUNCT
ajst-31217	106	27	method	method	NOUN
ajst-31217	106	28	,	,	PUNCT
ajst-31217	106	29	which	which	PRON
ajst-31217	106	30	uses	use	VERB
ajst-31217	106	31	stepwise	stepwise	ADJ
ajst-31217	106	32	addition	addition	NOUN
ajst-31217	106	33	for	for	ADP
ajst-31217	106	34	modeling	modeling	NOUN
ajst-31217	106	35	.	.	PUNCT
ajst-31217	107	1	its	its	PRON
ajst-31217	107	2	core	core	ADJ
ajst-31217	107	3	idea	idea	NOUN
ajst-31217	107	4	is	be	AUX
ajst-31217	107	5	to	to	PART
ajst-31217	107	6	correct	correct	VERB
ajst-31217	107	7	the	the	DET
ajst-31217	107	8	pre	pre	NOUN
ajst-31217	107	9	-	-	NOUN
ajst-31217	107	10	diction	diction	NOUN
ajst-31217	107	11	error	error	NOUN
ajst-31217	107	12	of	of	ADP
ajst-31217	107	13	the	the	DET
ajst-31217	107	14	previous	previous	ADJ
ajst-31217	107	15	round	round	NOUN
ajst-31217	107	16	of	of	ADP
ajst-31217	107	17	the	the	DET
ajst-31217	107	18	model	model	NOUN
ajst-31217	107	19	through	through	ADP
ajst-31217	107	20	each	each	DET
ajst-31217	107	21	round	round	NOUN
ajst-31217	107	22	of	of	ADP
ajst-31217	107	23	training	training	NOUN
ajst-31217	107	24	,	,	PUNCT
ajst-31217	107	25	and	and	CCONJ
ajst-31217	107	26	gradually	gradually	ADV
ajst-31217	107	27	improve	improve	VERB
ajst-31217	107	28	the	the	DET
ajst-31217	107	29	prediction	prediction	NOUN
ajst-31217	107	30	results[5	results[5	PROPN
ajst-31217	107	31	]	]	PUNCT
ajst-31217	107	32	.	.	PUNCT
ajst-31217	108	1	in	in	ADP
ajst-31217	108	2	each	each	DET
ajst-31217	108	3	round	round	NOUN
ajst-31217	108	4	of	of	ADP
ajst-31217	108	5	training	training	NOUN
ajst-31217	108	6	,	,	PUNCT
ajst-31217	108	7	the	the	DET
ajst-31217	108	8	model	model	NOUN
ajst-31217	108	9	fits	fit	VERB
ajst-31217	108	10	the	the	DET
ajst-31217	108	11	residuals	residual	NOUN
ajst-31217	108	12	(	(	PUNCT
ajst-31217	108	13	i.e.	i.e.	X
ajst-31217	108	14	,	,	PUNCT
ajst-31217	108	15	the	the	DET
ajst-31217	108	16	gap	gap	NOUN
ajst-31217	108	17	between	between	ADP
ajst-31217	108	18	the	the	DET
ajst-31217	108	19	true	true	ADJ
ajst-31217	108	20	value	value	NOUN
ajst-31217	108	21	and	and	CCONJ
ajst-31217	108	22	the	the	DET
ajst-31217	108	23	predicted	predict	VERB
ajst-31217	108	24	value	value	NOUN
ajst-31217	108	25	)	)	PUNCT
ajst-31217	108	26	of	of	ADP
ajst-31217	108	27	the	the	DET
ajst-31217	108	28	previous	previous	ADJ
ajst-31217	108	29	round	round	NOUN
ajst-31217	108	30	of	of	ADP
ajst-31217	108	31	modeling	modeling	NOUN
ajst-31217	108	32	:	:	PUNCT
ajst-31217	108	33	the	the	DET
ajst-31217	108	34	initial	initial	ADJ
ajst-31217	108	35	model	model	NOUN
ajst-31217	108	36	uses	use	VERB
ajst-31217	108	37	simple	simple	ADJ
ajst-31217	108	38	estimates	estimate	NOUN
ajst-31217	108	39	to	to	PART
ajst-31217	108	40	make	make	VERB
ajst-31217	108	41	predictions	prediction	NOUN
ajst-31217	108	42	.	.	PUNCT
ajst-31217	109	1	in	in	ADP
ajst-31217	109	2	round	round	NOUN
ajst-31217	109	3	𝑚	𝑚	NOUN
ajst-31217	109	4	,	,	PUNCT
ajst-31217	109	5	a	a	DET
ajst-31217	109	6	new	new	ADJ
ajst-31217	109	7	regression	regression	NOUN
ajst-31217	109	8	tree	tree	NOUN
ajst-31217	109	9	is	be	AUX
ajst-31217	109	10	trained	train	VERB
ajst-31217	109	11	to	to	PART
ajst-31217	109	12	predict	predict	VERB
ajst-31217	109	13	these	these	DET
ajst-31217	109	14	errors	error	NOUN
ajst-31217	109	15	based	base	VERB
ajst-31217	109	16	on	on	ADP
ajst-31217	109	17	the	the	DET
ajst-31217	109	18	residuals	residual	NOUN
ajst-31217	109	19	from	from	ADP
ajst-31217	109	20	the	the	DET
ajst-31217	109	21	previous	previous	ADJ
ajst-31217	109	22	round	round	NOUN
ajst-31217	109	23	,	,	PUNCT
ajst-31217	109	24	and	and	CCONJ
ajst-31217	109	25	the	the	DET
ajst-31217	109	26	model	model	NOUN
ajst-31217	109	27	is	be	AUX
ajst-31217	109	28	adjusted	adjust	VERB
ajst-31217	109	29	.	.	PUNCT
ajst-31217	110	1	1	1	NUM
ajst-31217	110	2	(	(	PUNCT
ajst-31217	110	3	)	)	PUNCT
ajst-31217	110	4	(	(	PUNCT
ajst-31217	110	5	)	)	PUNCT
ajst-31217	110	6	(	(	PUNCT
ajst-31217	110	7	)	)	PUNCT
ajst-31217	110	8	m	m	VERB
ajst-31217	110	9	m	m	VERB
ajst-31217	110	10	mf	mf	INTJ
ajst-31217	110	11	x	x	PUNCT
ajst-31217	110	12	f	f	NOUN
ajst-31217	110	13	x	x	SYM
ajst-31217	110	14	h	h	NOUN
ajst-31217	110	15	x	x	PUNCT
ajst-31217	110	16			VERB
ajst-31217	110	17			PROPN
ajst-31217	110	18	(	(	PUNCT
ajst-31217	110	19	4	4	NUM
ajst-31217	110	20	)	)	PUNCT
ajst-31217	110	21	the	the	DET
ajst-31217	110	22	specific	specific	ADJ
ajst-31217	110	23	solution	solution	NOUN
ajst-31217	110	24	steps	step	NOUN
ajst-31217	110	25	are	be	AUX
ajst-31217	110	26	as	as	SCONJ
ajst-31217	110	27	follows	follow	VERB
ajst-31217	110	28	:	:	PUNCT
ajst-31217	110	29	90	90	NUM
ajst-31217	110	30	a	a	PRON
ajst-31217	110	31	)	)	PUNCT
ajst-31217	110	32	initialize	initialize	VERB
ajst-31217	110	33	the	the	DET
ajst-31217	110	34	model	model	NOUN
ajst-31217	110	35	:	:	PUNCT
ajst-31217	110	36	set	set	VERB
ajst-31217	110	37	up	up	ADP
ajst-31217	110	38	the	the	DET
ajst-31217	110	39	initial	initial	ADJ
ajst-31217	110	40	model	model	NOUN
ajst-31217	110	41	,	,	PUNCT
ajst-31217	110	42	which	which	PRON
ajst-31217	110	43	is	be	AUX
ajst-31217	110	44	usually	usually	ADV
ajst-31217	110	45	a	a	DET
ajst-31217	110	46	simple	simple	ADJ
ajst-31217	110	47	constant	constant	ADJ
ajst-31217	110	48	prediction	prediction	NOUN
ajst-31217	110	49	(	(	PUNCT
ajst-31217	110	50	e.g.	e.g.	ADV
ajst-31217	110	51	,	,	PUNCT
ajst-31217	110	52	mean	mean	ADJ
ajst-31217	110	53	value	value	NOUN
ajst-31217	110	54	)	)	PUNCT
ajst-31217	110	55	.	.	PUNCT
ajst-31217	111	1	b	b	X
ajst-31217	111	2	)	)	PUNCT
ajst-31217	111	3	calculate	calculate	NOUN
ajst-31217	111	4	residuals	residual	NOUN
ajst-31217	111	5	:	:	PUNCT
ajst-31217	111	6	calculate	calculate	VERB
ajst-31217	111	7	the	the	DET
ajst-31217	111	8	difference	difference	NOUN
ajst-31217	111	9	between	between	ADP
ajst-31217	111	10	the	the	DET
ajst-31217	111	11	true	true	ADJ
ajst-31217	111	12	value	value	NOUN
ajst-31217	111	13	and	and	CCONJ
ajst-31217	111	14	the	the	DET
ajst-31217	111	15	current	current	ADJ
ajst-31217	111	16	model	model	NOUN
ajst-31217	111	17	prediction	prediction	NOUN
ajst-31217	111	18	,	,	PUNCT
ajst-31217	111	19	and	and	CCONJ
ajst-31217	111	20	get	get	VERB
ajst-31217	111	21	the	the	DET
ajst-31217	111	22	residuals	residual	NOUN
ajst-31217	111	23	.	.	PUNCT
ajst-31217	112	1	c	c	X
ajst-31217	112	2	)	)	PUNCT
ajst-31217	112	3	fit	fit	ADJ
ajst-31217	112	4	residuals	residual	NOUN
ajst-31217	112	5	:	:	PUNCT
ajst-31217	112	6	train	train	VERB
ajst-31217	112	7	a	a	DET
ajst-31217	112	8	decision	decision	NOUN
ajst-31217	112	9	tree	tree	NOUN
ajst-31217	112	10	to	to	PART
ajst-31217	112	11	fit	fit	VERB
ajst-31217	112	12	these	these	DET
ajst-31217	112	13	residuals	residual	NOUN
ajst-31217	112	14	to	to	PART
ajst-31217	112	15	get	get	VERB
ajst-31217	112	16	.	.	PUNCT
ajst-31217	113	1	d	d	X
ajst-31217	113	2	)	)	PUNCT
ajst-31217	113	3	update	update	NOUN
ajst-31217	113	4	the	the	DET
ajst-31217	113	5	model	model	NOUN
ajst-31217	113	6	:	:	PUNCT
ajst-31217	113	7	add	add	VERB
ajst-31217	113	8	the	the	DET
ajst-31217	113	9	weighted	weight	VERB
ajst-31217	113	10	predictions	prediction	NOUN
ajst-31217	113	11	of	of	ADP
ajst-31217	113	12	the	the	DET
ajst-31217	113	13	new	new	ADJ
ajst-31217	113	14	tree	tree	NOUN
ajst-31217	113	15	to	to	ADP
ajst-31217	113	16	the	the	DET
ajst-31217	113	17	current	current	ADJ
ajst-31217	113	18	model	model	NOUN
ajst-31217	113	19	to	to	PART
ajst-31217	113	20	get	get	VERB
ajst-31217	113	21	the	the	DET
ajst-31217	113	22	updated	update	VERB
ajst-31217	113	23	predictions	prediction	NOUN
ajst-31217	113	24	.	.	PUNCT
ajst-31217	114	1	e	e	X
ajst-31217	114	2	)	)	PUNCT
ajst-31217	114	3	iterate	iterate	NOUN
ajst-31217	114	4	:	:	PUNCT
ajst-31217	114	5	repeat	repeat	VERB
ajst-31217	114	6	the	the	DET
ajst-31217	114	7	above	above	ADJ
ajst-31217	114	8	process	process	NOUN
ajst-31217	114	9	until	until	SCONJ
ajst-31217	114	10	the	the	DET
ajst-31217	114	11	maximum	maximum	ADJ
ajst-31217	114	12	number	number	NOUN
ajst-31217	114	13	of	of	ADP
ajst-31217	114	14	iterations	iteration	NOUN
ajst-31217	114	15	is	be	AUX
ajst-31217	114	16	reached	reach	VERB
ajst-31217	114	17	or	or	CCONJ
ajst-31217	114	18	the	the	DET
ajst-31217	114	19	residuals	residual	NOUN
ajst-31217	114	20	are	be	AUX
ajst-31217	114	21	less	less	ADJ
ajst-31217	114	22	than	than	ADP
ajst-31217	114	23	a	a	DET
ajst-31217	114	24	certain	certain	ADJ
ajst-31217	114	25	threshold	threshold	NOUN
ajst-31217	114	26	.	.	PUNCT
ajst-31217	115	1	in	in	ADP
ajst-31217	115	2	addition	addition	NOUN
ajst-31217	115	3	,	,	PUNCT
ajst-31217	115	4	in	in	ADP
ajst-31217	115	5	order	order	NOUN
ajst-31217	115	6	to	to	PART
ajst-31217	115	7	improve	improve	VERB
ajst-31217	115	8	the	the	DET
ajst-31217	115	9	interpretability	interpretability	NOUN
ajst-31217	115	10	of	of	ADP
ajst-31217	115	11	the	the	DET
ajst-31217	115	12	model	model	NOUN
ajst-31217	115	13	,	,	PUNCT
ajst-31217	115	14	the	the	DET
ajst-31217	115	15	gradient	gradient	NOUN
ajst-31217	115	16	boosting	boost	VERB
ajst-31217	115	17	tree	tree	NOUN
ajst-31217	115	18	is	be	AUX
ajst-31217	115	19	combined	combine	VERB
ajst-31217	115	20	with	with	ADP
ajst-31217	115	21	the	the	DET
ajst-31217	115	22	shap	shap	PROPN
ajst-31217	115	23	model	model	NOUN
ajst-31217	115	24	.	.	PUNCT
ajst-31217	116	1	the	the	DET
ajst-31217	116	2	gradient	gradient	NOUN
ajst-31217	116	3	boosting	boost	VERB
ajst-31217	116	4	tree	tree	NOUN
ajst-31217	116	5	can	can	AUX
ajst-31217	116	6	automatically	automatically	ADV
ajst-31217	116	7	learn	learn	VERB
ajst-31217	116	8	complex	complex	ADJ
ajst-31217	116	9	nonlinear	nonlinear	ADJ
ajst-31217	116	10	relationships	relationship	NOUN
ajst-31217	116	11	in	in	ADP
ajst-31217	116	12	the	the	DET
ajst-31217	116	13	data	datum	NOUN
ajst-31217	116	14	,	,	PUNCT
ajst-31217	116	15	which	which	PRON
ajst-31217	116	16	is	be	AUX
ajst-31217	116	17	suitable	suitable	ADJ
ajst-31217	116	18	for	for	ADP
ajst-31217	116	19	dealing	deal	VERB
ajst-31217	116	20	with	with	ADP
ajst-31217	116	21	high	high	ADJ
ajst-31217	116	22	-	-	PUNCT
ajst-31217	116	23	dimensional	dimensional	ADJ
ajst-31217	116	24	data	datum	NOUN
ajst-31217	116	25	and	and	CCONJ
ajst-31217	116	26	complex	complex	ADJ
ajst-31217	116	27	feature	feature	NOUN
ajst-31217	116	28	interactions	interaction	NOUN
ajst-31217	116	29	.	.	PUNCT
ajst-31217	117	1	shap	shap	PROPN
ajst-31217	117	2	helps	help	VERB
ajst-31217	117	3	to	to	PART
ajst-31217	117	4	explain	explain	VERB
ajst-31217	117	5	black	black	ADJ
ajst-31217	117	6	-	-	PUNCT
ajst-31217	117	7	box	box	NOUN
ajst-31217	117	8	models	model	NOUN
ajst-31217	117	9	such	such	ADJ
ajst-31217	117	10	as	as	ADP
ajst-31217	117	11	gradient	gradient	ADJ
ajst-31217	117	12	boosting	boost	VERB
ajst-31217	117	13	tree	tree	NOUN
ajst-31217	117	14	by	by	ADP
ajst-31217	117	15	calculating	calculate	VERB
ajst-31217	117	16	the	the	DET
ajst-31217	117	17	contribution	contribution	NOUN
ajst-31217	117	18	degree	degree	NOUN
ajst-31217	117	19	for	for	ADP
ajst-31217	117	20	each	each	DET
ajst-31217	117	21	feature	feature	NOUN
ajst-31217	117	22	,	,	PUNCT
ajst-31217	117	23	which	which	PRON
ajst-31217	117	24	makes	make	VERB
ajst-31217	117	25	the	the	DET
ajst-31217	117	26	model	model	NOUN
ajst-31217	117	27	's	's	PART
ajst-31217	117	28	decision	decision	NOUN
ajst-31217	117	29	-	-	PUNCT
ajst-31217	117	30	making	make	VERB
ajst-31217	117	31	process	process	NOUN
ajst-31217	117	32	clearer	clear	ADJ
ajst-31217	117	33	and	and	CCONJ
ajst-31217	117	34	enhances	enhance	VERB
ajst-31217	117	35	the	the	DET
ajst-31217	117	36	interpretability	interpretability	NOUN
ajst-31217	117	37	[	[	X
ajst-31217	117	38	6	6	NUM
ajst-31217	117	39	]	]	PUNCT
ajst-31217	117	40	.	.	PUNCT
ajst-31217	118	1	4.3	4.3	NUM
ajst-31217	118	2	.	.	PUNCT
ajst-31217	119	1	the	the	DET
ajst-31217	119	2	solution	solution	NOUN
ajst-31217	119	3	of	of	ADP
ajst-31217	119	4	model	model	NOUN
ajst-31217	119	5	the	the	DET
ajst-31217	119	6	results	result	NOUN
ajst-31217	119	7	of	of	ADP
ajst-31217	119	8	hyperparameter	hyperparameter	NOUN
ajst-31217	119	9	optimization	optimization	NOUN
ajst-31217	119	10	are	be	AUX
ajst-31217	119	11	shown	show	VERB
ajst-31217	119	12	in	in	ADP
ajst-31217	119	13	table.1	table.1	PROPN
ajst-31217	119	14	.	.	PUNCT
ajst-31217	119	15	table	table	NOUN
ajst-31217	120	1	1	1	NUM
ajst-31217	120	2	.	.	PUNCT
ajst-31217	120	3	hyper	hyper	ADJ
ajst-31217	120	4	-	-	ADJ
ajst-31217	120	5	parameter	parameter	ADJ
ajst-31217	120	6	optimization	optimization	NOUN
ajst-31217	120	7	results	result	VERB
ajst-31217	120	8	parameters	parameter	NOUN
ajst-31217	120	9	optimal	optimal	ADJ
ajst-31217	120	10	hyperparameters	hyperparameter	NOUN
ajst-31217	120	11	for	for	ADP
ajst-31217	120	12	gold	gold	NOUN
ajst-31217	120	13	medal	medal	NOUN
ajst-31217	120	14	count	count	NOUN
ajst-31217	120	15	prediction	prediction	NOUN
ajst-31217	120	16	optimal	optimal	ADJ
ajst-31217	120	17	hyperparameters	hyperparameter	NOUN
ajst-31217	120	18	for	for	ADP
ajst-31217	120	19	total	total	ADJ
ajst-31217	120	20	medals	medal	NOUN
ajst-31217	120	21	prediction	prediction	NOUN
ajst-31217	120	22	n_estimators	n_estimator	VERB
ajst-31217	120	23	1	1	NUM
ajst-31217	120	24	0.9	0.9	NUM
ajst-31217	120	25	learning_rate	learning_rate	PROPN
ajst-31217	120	26	100	100	NUM
ajst-31217	120	27	100	100	NUM
ajst-31217	120	28	max_depth	max_depth	NOUN
ajst-31217	120	29	2	2	NUM
ajst-31217	120	30	5	5	NUM
ajst-31217	120	31	min_samples_split	min_samples_split	ADJ
ajst-31217	120	32	1	1	NUM
ajst-31217	120	33	2	2	NUM
ajst-31217	120	34	min_samples_leaf	min_samples_leaf	NOUN
ajst-31217	120	35	5	5	NUM
ajst-31217	120	36	3	3	NUM
ajst-31217	120	37	subsample	subsample	NOUN
ajst-31217	120	38	0.05	0.05	NUM
ajst-31217	120	39	0.1	0.1	NUM
ajst-31217	120	40	after	after	ADP
ajst-31217	120	41	hyperparameter	hyperparameter	NOUN
ajst-31217	120	42	optimization	optimization	NOUN
ajst-31217	120	43	search	search	NOUN
ajst-31217	120	44	,	,	PUNCT
ajst-31217	120	45	the	the	DET
ajst-31217	120	46	mse	mse	NOUN
ajst-31217	120	47	of	of	ADP
ajst-31217	120	48	gold	gold	NOUN
ajst-31217	120	49	medal	medal	NOUN
ajst-31217	120	50	count	count	NOUN
ajst-31217	120	51	prediction	prediction	NOUN
ajst-31217	120	52	is	be	AUX
ajst-31217	120	53	0.0472	0.0472	NUM
ajst-31217	120	54	and	and	CCONJ
ajst-31217	120	55	mae	mae	PROPN
ajst-31217	120	56	is	be	AUX
ajst-31217	120	57	0.0956	0.0956	NUM
ajst-31217	120	58	;	;	PUNCT
ajst-31217	120	59	the	the	DET
ajst-31217	120	60	mse	mse	NOUN
ajst-31217	120	61	of	of	ADP
ajst-31217	120	62	total	total	ADJ
ajst-31217	120	63	medal	medal	NOUN
ajst-31217	120	64	count	count	NOUN
ajst-31217	120	65	prediction	prediction	NOUN
ajst-31217	120	66	is	be	AUX
ajst-31217	120	67	0.1229	0.1229	NUM
ajst-31217	120	68	and	and	CCONJ
ajst-31217	120	69	mae	mae	PROPN
ajst-31217	120	70	is	be	AUX
ajst-31217	120	71	0.2484	0.2484	NUM
ajst-31217	120	72	.	.	PUNCT
ajst-31217	121	1	in	in	ADP
ajst-31217	121	2	order	order	NOUN
ajst-31217	121	3	to	to	PART
ajst-31217	121	4	better	well	ADV
ajst-31217	121	5	clarify	clarify	VERB
ajst-31217	121	6	the	the	DET
ajst-31217	121	7	influence	influence	NOUN
ajst-31217	121	8	of	of	ADP
ajst-31217	121	9	coaching	coaching	NOUN
ajst-31217	121	10	,	,	PUNCT
ajst-31217	121	11	the	the	DET
ajst-31217	121	12	shap	shap	PROPN
ajst-31217	121	13	model	model	NOUN
ajst-31217	121	14	was	be	AUX
ajst-31217	121	15	combined	combine	VERB
ajst-31217	121	16	and	and	CCONJ
ajst-31217	121	17	analyzed	analyze	VERB
ajst-31217	121	18	,	,	PUNCT
ajst-31217	121	19	and	and	CCONJ
ajst-31217	121	20	the	the	DET
ajst-31217	121	21	results	result	NOUN
ajst-31217	121	22	are	be	AUX
ajst-31217	121	23	shown	show	VERB
ajst-31217	121	24	in	in	ADP
ajst-31217	121	25	figure	figure	NOUN
ajst-31217	121	26	4	4	NUM
ajst-31217	121	27	and	and	CCONJ
ajst-31217	121	28	figure	figure	VERB
ajst-31217	121	29	5	5	NUM
ajst-31217	121	30	.	.	PUNCT
ajst-31217	122	1	it	it	PRON
ajst-31217	122	2	can	can	AUX
ajst-31217	122	3	be	be	AUX
ajst-31217	122	4	found	find	VERB
ajst-31217	122	5	that	that	SCONJ
ajst-31217	122	6	:	:	PUNCT
ajst-31217	122	7	a	a	X
ajst-31217	122	8	)	)	PUNCT
ajst-31217	122	9	coach	coach	NOUN
ajst-31217	122	10	performance	performance	NOUN
ajst-31217	122	11	is	be	AUX
ajst-31217	122	12	a	a	DET
ajst-31217	122	13	very	very	ADV
ajst-31217	122	14	important	important	ADJ
ajst-31217	122	15	feature	feature	NOUN
ajst-31217	122	16	in	in	ADP
ajst-31217	122	17	the	the	DET
ajst-31217	122	18	medal	medal	ADJ
ajst-31217	122	19	prediction	prediction	NOUN
ajst-31217	122	20	model	model	NOUN
ajst-31217	122	21	.	.	PUNCT
ajst-31217	123	1	shap	shap	PROPN
ajst-31217	123	2	analysis	analysis	NOUN
ajst-31217	123	3	shows	show	VERB
ajst-31217	123	4	that	that	SCONJ
ajst-31217	123	5	better	well	ADJ
ajst-31217	123	6	performing	performing	NOUN
ajst-31217	123	7	coaches	coach	NOUN
ajst-31217	123	8	can	can	AUX
ajst-31217	123	9	significantly	significantly	ADV
ajst-31217	123	10	increase	increase	VERB
ajst-31217	123	11	the	the	DET
ajst-31217	123	12	number	number	NOUN
ajst-31217	123	13	of	of	ADP
ajst-31217	123	14	medals	medal	NOUN
ajst-31217	123	15	of	of	ADP
ajst-31217	123	16	athletes	athlete	NOUN
ajst-31217	123	17	,	,	PUNCT
ajst-31217	123	18	especially	especially	ADV
ajst-31217	123	19	the	the	DET
ajst-31217	123	20	number	number	NOUN
ajst-31217	123	21	of	of	ADP
ajst-31217	123	22	gold	gold	NOUN
ajst-31217	123	23	medals	medal	NOUN
ajst-31217	123	24	and	and	CCONJ
ajst-31217	123	25	total	total	ADJ
ajst-31217	123	26	medals	medal	NOUN
ajst-31217	123	27	.	.	PUNCT
ajst-31217	124	1	therefore	therefore	ADV
ajst-31217	124	2	,	,	PUNCT
ajst-31217	124	3	in	in	ADP
ajst-31217	124	4	practical	practical	ADJ
ajst-31217	124	5	applications	application	NOUN
ajst-31217	124	6	,	,	PUNCT
ajst-31217	124	7	coach	coach	NOUN
ajst-31217	124	8	performance	performance	NOUN
ajst-31217	124	9	can	can	AUX
ajst-31217	124	10	be	be	AUX
ajst-31217	124	11	used	use	VERB
ajst-31217	124	12	as	as	ADP
ajst-31217	124	13	a	a	DET
ajst-31217	124	14	more	more	ADV
ajst-31217	124	15	critical	critical	ADJ
ajst-31217	124	16	feature	feature	NOUN
ajst-31217	124	17	to	to	PART
ajst-31217	124	18	optimize	optimize	VERB
ajst-31217	124	19	the	the	DET
ajst-31217	124	20	model	model	NOUN
ajst-31217	124	21	.	.	PUNCT
ajst-31217	125	1	b	b	X
ajst-31217	125	2	)	)	PUNCT
ajst-31217	125	3	although	although	SCONJ
ajst-31217	125	4	years	year	NOUN
ajst-31217	125	5	of	of	ADP
ajst-31217	125	6	coaching	coaching	NOUN
ajst-31217	125	7	experience	experience	NOUN
ajst-31217	125	8	may	may	AUX
ajst-31217	125	9	theoretically	theoretically	ADV
ajst-31217	125	10	affect	affect	VERB
ajst-31217	125	11	athlete	athlete	NOUN
ajst-31217	125	12	performance	performance	NOUN
ajst-31217	125	13	,	,	PUNCT
ajst-31217	125	14	shap	shap	PROPN
ajst-31217	125	15	value	value	NOUN
ajst-31217	125	16	analysis	analysis	NOUN
ajst-31217	125	17	suggests	suggest	VERB
ajst-31217	125	18	that	that	SCONJ
ajst-31217	125	19	the	the	DET
ajst-31217	125	20	actual	actual	ADJ
ajst-31217	125	21	performance	performance	NOUN
ajst-31217	125	22	of	of	ADP
ajst-31217	125	23	the	the	DET
ajst-31217	125	24	coach	coach	NOUN
ajst-31217	125	25	(	(	PUNCT
ajst-31217	125	26	rather	rather	ADV
ajst-31217	125	27	than	than	ADP
ajst-31217	125	28	years	year	NOUN
ajst-31217	125	29	of	of	ADP
ajst-31217	125	30	experience	experience	NOUN
ajst-31217	125	31	)	)	PUNCT
ajst-31217	125	32	has	have	VERB
ajst-31217	125	33	a	a	DET
ajst-31217	125	34	greater	great	ADJ
ajst-31217	125	35	impact	impact	NOUN
ajst-31217	125	36	on	on	ADP
ajst-31217	125	37	the	the	DET
ajst-31217	125	38	number	number	NOUN
ajst-31217	125	39	of	of	ADP
ajst-31217	125	40	medals	medal	NOUN
ajst-31217	125	41	won	win	VERB
ajst-31217	125	42	by	by	ADP
ajst-31217	125	43	the	the	DET
ajst-31217	125	44	athlete	athlete	NOUN
ajst-31217	125	45	.	.	PUNCT
ajst-31217	126	1	figure	figure	NOUN
ajst-31217	126	2	4	4	NUM
ajst-31217	126	3	.	.	PUNCT
ajst-31217	127	1	analysis	analysis	NOUN
ajst-31217	127	2	of	of	ADP
ajst-31217	127	3	the	the	DET
ajst-31217	127	4	number	number	NOUN
ajst-31217	127	5	of	of	ADP
ajst-31217	127	6	gold	gold	NOUN
ajst-31217	127	7	medals	medal	NOUN
ajst-31217	127	8	figure	figure	VERB
ajst-31217	127	9	5	5	NUM
ajst-31217	127	10	.	.	PUNCT
ajst-31217	128	1	analysis	analysis	NOUN
ajst-31217	128	2	of	of	ADP
ajst-31217	128	3	total	total	ADJ
ajst-31217	128	4	medals	medal	NOUN
ajst-31217	128	5	91	91	NUM
ajst-31217	128	6	by	by	ADP
ajst-31217	128	7	improving	improve	VERB
ajst-31217	128	8	the	the	DET
ajst-31217	128	9	performance	performance	NOUN
ajst-31217	128	10	of	of	ADP
ajst-31217	128	11	coaches	coach	NOUN
ajst-31217	128	12	,	,	PUNCT
ajst-31217	128	13	the	the	DET
ajst-31217	128	14	total	total	ADJ
ajst-31217	128	15	number	number	NOUN
ajst-31217	128	16	of	of	ADP
ajst-31217	128	17	medals	medal	NOUN
ajst-31217	128	18	predicted	predict	VERB
ajst-31217	128	19	for	for	ADP
ajst-31217	128	20	certain	certain	ADJ
ajst-31217	128	21	countries	country	NOUN
ajst-31217	128	22	increases	increase	VERB
ajst-31217	128	23	significantly	significantly	ADV
ajst-31217	128	24	,	,	PUNCT
ajst-31217	128	25	suggesting	suggest	VERB
ajst-31217	128	26	that	that	SCONJ
ajst-31217	128	27	improving	improve	VERB
ajst-31217	128	28	the	the	DET
ajst-31217	128	29	level	level	NOUN
ajst-31217	128	30	of	of	ADP
ajst-31217	128	31	coaching	coaching	NOUN
ajst-31217	128	32	has	have	VERB
ajst-31217	128	33	a	a	DET
ajst-31217	128	34	positive	positive	ADJ
ajst-31217	128	35	impact	impact	NOUN
ajst-31217	128	36	on	on	ADP
ajst-31217	128	37	the	the	DET
ajst-31217	128	38	number	number	NOUN
ajst-31217	128	39	of	of	ADP
ajst-31217	128	40	medals	medal	NOUN
ajst-31217	128	41	won	win	VERB
ajst-31217	128	42	by	by	ADP
ajst-31217	128	43	these	these	DET
ajst-31217	128	44	countries	country	NOUN
ajst-31217	128	45	.	.	PUNCT
ajst-31217	129	1	this	this	PRON
ajst-31217	129	2	suggests	suggest	VERB
ajst-31217	129	3	that	that	SCONJ
ajst-31217	129	4	the	the	DET
ajst-31217	129	5	role	role	NOUN
ajst-31217	129	6	of	of	ADP
ajst-31217	129	7	“	"	PUNCT
ajst-31217	129	8	great	great	ADJ
ajst-31217	129	9	coaches	coach	NOUN
ajst-31217	129	10	”	"	PUNCT
ajst-31217	129	11	in	in	ADP
ajst-31217	129	12	medal	medal	ADJ
ajst-31217	129	13	counts	count	NOUN
ajst-31217	129	14	is	be	AUX
ajst-31217	129	15	critical	critical	ADJ
ajst-31217	129	16	,	,	PUNCT
ajst-31217	129	17	especially	especially	ADV
ajst-31217	129	18	in	in	ADP
ajst-31217	129	19	countries	country	NOUN
ajst-31217	129	20	that	that	PRON
ajst-31217	129	21	need	need	VERB
ajst-31217	129	22	to	to	PART
ajst-31217	129	23	improve	improve	VERB
ajst-31217	129	24	.	.	PUNCT
ajst-31217	130	1	however	however	ADV
ajst-31217	130	2	,	,	PUNCT
ajst-31217	130	3	for	for	ADP
ajst-31217	130	4	some	some	DET
ajst-31217	130	5	other	other	ADJ
ajst-31217	130	6	countries	country	NOUN
ajst-31217	130	7	,	,	PUNCT
ajst-31217	130	8	improving	improve	VERB
ajst-31217	130	9	coaching	coaching	NOUN
ajst-31217	130	10	performance	performance	NOUN
ajst-31217	130	11	has	have	VERB
ajst-31217	130	12	a	a	DET
ajst-31217	130	13	relatively	relatively	ADV
ajst-31217	130	14	small	small	ADJ
ajst-31217	130	15	impact	impact	NOUN
ajst-31217	130	16	on	on	ADP
ajst-31217	130	17	the	the	DET
ajst-31217	130	18	total	total	ADJ
ajst-31217	130	19	number	number	NOUN
ajst-31217	130	20	of	of	ADP
ajst-31217	130	21	medals	medal	NOUN
ajst-31217	130	22	,	,	PUNCT
ajst-31217	130	23	perhaps	perhaps	ADV
ajst-31217	130	24	because	because	SCONJ
ajst-31217	130	25	their	their	PRON
ajst-31217	130	26	athletes	athlete	NOUN
ajst-31217	130	27	are	be	AUX
ajst-31217	130	28	already	already	ADV
ajst-31217	130	29	highly	highly	ADV
ajst-31217	130	30	competitive	competitive	ADJ
ajst-31217	130	31	or	or	CCONJ
ajst-31217	130	32	because	because	SCONJ
ajst-31217	130	33	other	other	ADJ
ajst-31217	130	34	factors	factor	NOUN
ajst-31217	130	35	(	(	PUNCT
ajst-31217	130	36	e.g.	e.g.	ADV
ajst-31217	130	37	,	,	PUNCT
ajst-31217	130	38	athlete	athlete	NOUN
ajst-31217	130	39	talent	talent	NOUN
ajst-31217	130	40	,	,	PUNCT
ajst-31217	130	41	training	training	NOUN
ajst-31217	130	42	facilities	facility	NOUN
ajst-31217	130	43	,	,	PUNCT
ajst-31217	130	44	etc	etc	X
ajst-31217	130	45	.	.	X
ajst-31217	130	46	)	)	PUNCT
ajst-31217	130	47	dominate	dominate	VERB
ajst-31217	130	48	their	their	PRON
ajst-31217	130	49	medal	medal	ADJ
ajst-31217	130	50	performance	performance	NOUN
ajst-31217	130	51	.	.	PUNCT
ajst-31217	131	1	5	5	X
ajst-31217	131	2	.	.	X
ajst-31217	131	3	conclusion	conclusion	VERB
ajst-31217	131	4	the	the	DET
ajst-31217	131	5	hybrid	hybrid	ADJ
ajst-31217	131	6	prediction	prediction	NOUN
ajst-31217	131	7	framework	framework	NOUN
ajst-31217	131	8	integrating	integrate	VERB
ajst-31217	131	9	random	random	ADJ
ajst-31217	131	10	forest	forest	NOUN
ajst-31217	131	11	regression	regression	NOUN
ajst-31217	131	12	and	and	CCONJ
ajst-31217	131	13	gradient	gradient	NOUN
ajst-31217	131	14	boosting	boost	VERB
ajst-31217	131	15	tree	tree	NOUN
ajst-31217	131	16	constructed	construct	VERB
ajst-31217	131	17	in	in	ADP
ajst-31217	131	18	this	this	DET
ajst-31217	131	19	study	study	NOUN
ajst-31217	131	20	effectively	effectively	ADV
ajst-31217	131	21	solves	solve	VERB
ajst-31217	131	22	the	the	DET
ajst-31217	131	23	modelling	modelling	NOUN
ajst-31217	131	24	and	and	CCONJ
ajst-31217	131	25	analysis	analysis	NOUN
ajst-31217	131	26	challenges	challenge	NOUN
ajst-31217	131	27	of	of	ADP
ajst-31217	131	28	complex	complex	ADJ
ajst-31217	131	29	features	feature	NOUN
ajst-31217	131	30	in	in	ADP
ajst-31217	131	31	multivariate	multivariate	NOUN
ajst-31217	131	32	systems	system	NOUN
ajst-31217	131	33	.	.	PUNCT
ajst-31217	132	1	firstly	firstly	ADV
ajst-31217	132	2	,	,	PUNCT
ajst-31217	132	3	the	the	DET
ajst-31217	132	4	study	study	NOUN
ajst-31217	132	5	achieves	achieve	VERB
ajst-31217	132	6	efficient	efficient	ADJ
ajst-31217	132	7	capture	capture	NOUN
ajst-31217	132	8	of	of	ADP
ajst-31217	132	9	multidimensional	multidimensional	ADJ
ajst-31217	132	10	feature	feature	NOUN
ajst-31217	132	11	nonlinear	nonlinear	PROPN
ajst-31217	132	12	associations	association	NOUN
ajst-31217	132	13	based	base	VERB
ajst-31217	132	14	on	on	ADP
ajst-31217	132	15	the	the	DET
ajst-31217	132	16	random	random	ADJ
ajst-31217	132	17	forest	forest	NOUN
ajst-31217	132	18	model	model	NOUN
ajst-31217	132	19	through	through	ADP
ajst-31217	132	20	self	self	NOUN
ajst-31217	132	21	-	-	PUNCT
ajst-31217	132	22	sampling	sample	VERB
ajst-31217	132	23	and	and	CCONJ
ajst-31217	132	24	feature	feature	VERB
ajst-31217	132	25	random	random	ADJ
ajst-31217	132	26	selection	selection	NOUN
ajst-31217	132	27	mechanism	mechanism	NOUN
ajst-31217	132	28	,	,	PUNCT
ajst-31217	132	29	and	and	CCONJ
ajst-31217	132	30	its	its	PRON
ajst-31217	132	31	built	build	VERB
ajst-31217	132	32	-	-	PUNCT
ajst-31217	132	33	in	in	ADP
ajst-31217	132	34	feature	feature	NOUN
ajst-31217	132	35	importance	importance	NOUN
ajst-31217	132	36	analysis	analysis	NOUN
ajst-31217	132	37	provides	provide	VERB
ajst-31217	132	38	a	a	DET
ajst-31217	132	39	quantitative	quantitative	ADJ
ajst-31217	132	40	basis	basis	NOUN
ajst-31217	132	41	for	for	ADP
ajst-31217	132	42	variable	variable	ADJ
ajst-31217	132	43	screening	screening	NOUN
ajst-31217	132	44	.	.	PUNCT
ajst-31217	133	1	secondly	secondly	ADV
ajst-31217	133	2	,	,	PUNCT
ajst-31217	133	3	logistic	logistic	ADJ
ajst-31217	133	4	regression	regression	NOUN
ajst-31217	133	5	and	and	CCONJ
ajst-31217	133	6	linear	linear	PROPN
ajst-31217	133	7	regression	regression	NOUN
ajst-31217	133	8	enhance	enhance	VERB
ajst-31217	133	9	the	the	DET
ajst-31217	133	10	statistical	statistical	ADJ
ajst-31217	133	11	explanatory	explanatory	ADJ
ajst-31217	133	12	ability	ability	NOUN
ajst-31217	133	13	of	of	ADP
ajst-31217	133	14	the	the	DET
ajst-31217	133	15	model	model	NOUN
ajst-31217	133	16	from	from	ADP
ajst-31217	133	17	the	the	DET
ajst-31217	133	18	perspective	perspective	NOUN
ajst-31217	133	19	of	of	ADP
ajst-31217	133	20	dichotomous	dichotomous	ADJ
ajst-31217	133	21	prediction	prediction	NOUN
ajst-31217	133	22	and	and	CCONJ
ajst-31217	133	23	multivariate	multivariate	NOUN
ajst-31217	133	24	interaction	interaction	NOUN
ajst-31217	133	25	,	,	PUNCT
ajst-31217	133	26	respectively	respectively	ADV
ajst-31217	133	27	,	,	PUNCT
ajst-31217	133	28	and	and	CCONJ
ajst-31217	133	29	clearly	clearly	ADV
ajst-31217	133	30	present	present	VERB
ajst-31217	133	31	the	the	DET
ajst-31217	133	32	differences	difference	NOUN
ajst-31217	133	33	in	in	ADP
ajst-31217	133	34	feature	feature	NOUN
ajst-31217	133	35	contribution	contribution	NOUN
ajst-31217	133	36	through	through	ADP
ajst-31217	133	37	one	one	NUM
ajst-31217	133	38	-	-	PUNCT
ajst-31217	133	39	hot	hot	ADJ
ajst-31217	133	40	coding	coding	NOUN
ajst-31217	133	41	and	and	CCONJ
ajst-31217	133	42	visualisation	visualisation	NOUN
ajst-31217	133	43	techniques	technique	NOUN
ajst-31217	133	44	.	.	PUNCT
ajst-31217	134	1	in	in	ADP
ajst-31217	134	2	addition	addition	NOUN
ajst-31217	134	3	,	,	PUNCT
ajst-31217	134	4	this	this	DET
ajst-31217	134	5	study	study	NOUN
ajst-31217	134	6	constructs	construct	VERB
ajst-31217	134	7	a	a	DET
ajst-31217	134	8	gradient	gradient	NOUN
ajst-31217	134	9	boosting	boost	VERB
ajst-31217	134	10	tree	tree	NOUN
ajst-31217	134	11	combined	combine	VERB
ajst-31217	134	12	with	with	ADP
ajst-31217	134	13	shap	shap	PROPN
ajst-31217	134	14	value	value	NOUN
ajst-31217	134	15	analysis	analysis	NOUN
ajst-31217	134	16	,	,	PUNCT
ajst-31217	134	17	which	which	PRON
ajst-31217	134	18	significantly	significantly	ADV
ajst-31217	134	19	improves	improve	VERB
ajst-31217	134	20	the	the	DET
ajst-31217	134	21	prediction	prediction	NOUN
ajst-31217	134	22	accuracy	accuracy	NOUN
ajst-31217	134	23	by	by	ADP
ajst-31217	134	24	iterative	iterative	NOUN
ajst-31217	134	25	fitting	fitting	NOUN
ajst-31217	134	26	of	of	ADP
ajst-31217	134	27	residuals	residual	NOUN
ajst-31217	134	28	,	,	PUNCT
ajst-31217	134	29	and	and	CCONJ
ajst-31217	134	30	realises	realise	VERB
ajst-31217	134	31	the	the	DET
ajst-31217	134	32	transparency	transparency	NOUN
ajst-31217	134	33	of	of	ADP
ajst-31217	134	34	the	the	DET
ajst-31217	134	35	decision	decision	NOUN
ajst-31217	134	36	-	-	PUNCT
ajst-31217	134	37	making	make	VERB
ajst-31217	134	38	process	process	NOUN
ajst-31217	134	39	of	of	ADP
ajst-31217	134	40	the	the	DET
ajst-31217	134	41	model	model	NOUN
ajst-31217	134	42	by	by	ADP
ajst-31217	134	43	quantifying	quantify	VERB
ajst-31217	134	44	the	the	DET
ajst-31217	134	45	importance	importance	NOUN
ajst-31217	134	46	of	of	ADP
ajst-31217	134	47	features	feature	NOUN
ajst-31217	134	48	.	.	PUNCT
ajst-31217	135	1	this	this	DET
ajst-31217	135	2	framework	framework	NOUN
ajst-31217	135	3	not	not	PART
ajst-31217	135	4	only	only	ADV
ajst-31217	135	5	breaks	break	VERB
ajst-31217	135	6	through	through	ADP
ajst-31217	135	7	the	the	DET
ajst-31217	135	8	limitations	limitation	NOUN
ajst-31217	135	9	of	of	ADP
ajst-31217	135	10	a	a	DET
ajst-31217	135	11	single	single	ADJ
ajst-31217	135	12	algorithm	algorithm	NOUN
ajst-31217	135	13	in	in	ADP
ajst-31217	135	14	terms	term	NOUN
ajst-31217	135	15	of	of	ADP
ajst-31217	135	16	accuracy	accuracy	NOUN
ajst-31217	135	17	and	and	CCONJ
ajst-31217	135	18	interpretability	interpretability	NOUN
ajst-31217	135	19	,	,	PUNCT
ajst-31217	135	20	but	but	CCONJ
ajst-31217	135	21	also	also	ADV
ajst-31217	135	22	provides	provide	VERB
ajst-31217	135	23	a	a	DET
ajst-31217	135	24	reusable	reusable	ADJ
ajst-31217	135	25	technical	technical	ADJ
ajst-31217	135	26	paradigm	paradigm	NOUN
ajst-31217	135	27	for	for	ADP
ajst-31217	135	28	predictive	predictive	ADJ
ajst-31217	135	29	analyses	analysis	NOUN
ajst-31217	135	30	of	of	ADP
ajst-31217	135	31	multivariate	multivariate	NOUN
ajst-31217	135	32	systems	system	NOUN
ajst-31217	135	33	through	through	ADP
ajst-31217	135	34	multi	multi	ADJ
ajst-31217	135	35	-	-	ADJ
ajst-31217	135	36	dimensional	dimensional	ADJ
ajst-31217	135	37	feature	feature	NOUN
ajst-31217	135	38	engineering	engineering	NOUN
ajst-31217	135	39	and	and	CCONJ
ajst-31217	135	40	algorithmic	algorithmic	ADJ
ajst-31217	135	41	complementarity	complementarity	NOUN
ajst-31217	135	42	.	.	PUNCT
ajst-31217	136	1	future	future	ADJ
ajst-31217	136	2	research	research	NOUN
ajst-31217	136	3	can	can	AUX
ajst-31217	136	4	further	far	ADV
ajst-31217	136	5	explore	explore	VERB
ajst-31217	136	6	the	the	DET
ajst-31217	136	7	fusion	fusion	NOUN
ajst-31217	136	8	path	path	NOUN
ajst-31217	136	9	of	of	ADP
ajst-31217	136	10	dynamic	dynamic	ADJ
ajst-31217	136	11	features	feature	NOUN
ajst-31217	136	12	and	and	CCONJ
ajst-31217	136	13	multi	multi	ADJ
ajst-31217	136	14	-	-	ADJ
ajst-31217	136	15	source	source	NOUN
ajst-31217	136	16	data	datum	NOUN
ajst-31217	136	17	,	,	PUNCT
ajst-31217	136	18	continuously	continuously	ADV
ajst-31217	136	19	optimise	optimise	VERB
ajst-31217	136	20	the	the	DET
ajst-31217	136	21	model	model	NOUN
ajst-31217	136	22	parameter	parameter	NOUN
ajst-31217	136	23	settings	setting	NOUN
ajst-31217	136	24	,	,	PUNCT
ajst-31217	136	25	and	and	CCONJ
ajst-31217	136	26	promote	promote	VERB
ajst-31217	136	27	the	the	DET
ajst-31217	136	28	expansion	expansion	NOUN
ajst-31217	136	29	of	of	ADP
ajst-31217	136	30	the	the	DET
ajst-31217	136	31	framework	framework	NOUN
ajst-31217	136	32	in	in	ADP
ajst-31217	136	33	a	a	DET
ajst-31217	136	34	wider	wide	ADJ
ajst-31217	136	35	range	range	NOUN
ajst-31217	136	36	of	of	ADP
ajst-31217	136	37	applications	application	NOUN
ajst-31217	136	38	.	.	PUNCT
ajst-31217	137	1	references	reference	NOUN
ajst-31217	137	2	[	[	X
ajst-31217	137	3	1	1	NUM
ajst-31217	137	4	]	]	X
ajst-31217	137	5	li	li	PROPN
ajst-31217	137	6	hongda	hongda	PROPN
ajst-31217	137	7	.	.	PUNCT
ajst-31217	138	1	research	research	NOUN
ajst-31217	138	2	on	on	ADP
ajst-31217	138	3	land	land	NOUN
ajst-31217	138	4	cover	cover	NOUN
ajst-31217	138	5	classification	classification	NOUN
ajst-31217	138	6	of	of	ADP
ajst-31217	138	7	sentinel-2	sentinel-2	ADJ
ajst-31217	138	8	multi	multi	ADJ
ajst-31217	138	9	-	-	ADJ
ajst-31217	138	10	seasonal	seasonal	ADJ
ajst-31217	138	11	data	datum	NOUN
ajst-31217	138	12	based	base	VERB
ajst-31217	138	13	on	on	ADP
ajst-31217	138	14	gradient	gradient	NOUN
ajst-31217	138	15	boosting	boost	VERB
ajst-31217	138	16	tree	tree	NOUN
ajst-31217	138	17	and	and	CCONJ
ajst-31217	138	18	random	random	ADJ
ajst-31217	138	19	forest[d	forest[d	NOUN
ajst-31217	138	20	]	]	PUNCT
ajst-31217	138	21	.	.	PUNCT
ajst-31217	139	1	qinghai	qinghai	PROPN
ajst-31217	139	2	normal	normal	ADJ
ajst-31217	139	3	university	university	NOUN
ajst-31217	139	4	,	,	PUNCT
ajst-31217	139	5	2021	2021	NUM
ajst-31217	139	6	.	.	PUNCT
ajst-31217	140	1	[	[	X
ajst-31217	140	2	2	2	NUM
ajst-31217	140	3	]	]	X
ajst-31217	140	4	zhou	zhou	PROPN
ajst-31217	140	5	yunhao	yunhao	PROPN
ajst-31217	140	6	,	,	PUNCT
ajst-31217	140	7	yang	yang	PROPN
ajst-31217	140	8	baojie	baojie	PROPN
ajst-31217	140	9	,	,	PUNCT
ajst-31217	140	10	liu	liu	PROPN
ajst-31217	140	11	dan	dan	PROPN
ajst-31217	140	12	,	,	PUNCT
ajst-31217	140	13	et	et	PROPN
ajst-31217	140	14	al	al	PROPN
ajst-31217	140	15	.	.	PROPN
ajst-31217	140	16	modelling	modelling	NOUN
ajst-31217	140	17	and	and	CCONJ
ajst-31217	140	18	simulation	simulation	NOUN
ajst-31217	140	19	of	of	ADP
ajst-31217	140	20	predictive	predictive	ADJ
ajst-31217	140	21	analy	analy	PROPN
ajst-31217	140	22	-	-	PUNCT
ajst-31217	140	23	sis	sis	NOUN
ajst-31217	140	24	of	of	ADP
ajst-31217	140	25	power	power	NOUN
ajst-31217	140	26	engineering	engineering	NOUN
ajst-31217	140	27	data	datum	NOUN
ajst-31217	140	28	based	base	VERB
ajst-31217	140	29	on	on	ADP
ajst-31217	140	30	random	random	ADJ
ajst-31217	140	31	forest	forest	NOUN
ajst-31217	140	32	algorithm	algorithm	NOUN
ajst-31217	140	33	[	[	X
ajst-31217	140	34	j	j	X
ajst-31217	140	35	]	]	X
ajst-31217	140	36	.	.	PUNCT
ajst-31217	141	1	electronic	electronic	ADJ
ajst-31217	141	2	design	design	NOUN
ajst-31217	141	3	engineering	engineering	NOUN
ajst-31217	141	4	,	,	PUNCT
ajst-31217	141	5	2024	2024	NUM
ajst-31217	141	6	,	,	PUNCT
ajst-31217	141	7	32	32	NUM
ajst-31217	141	8	(	(	PUNCT
ajst-31217	141	9	04	04	NUM
ajst-31217	141	10	):	):	PUNCT
ajst-31217	141	11	103	103	NUM
ajst-31217	141	12	-	-	SYM
ajst-31217	141	13	106	106	NUM
ajst-31217	141	14	+	+	NOUN
ajst-31217	141	15	111	111	NUM
ajst-31217	141	16	.	.	PUNCT
ajst-31217	142	1	[	[	X
ajst-31217	142	2	3	3	NUM
ajst-31217	142	3	]	]	X
ajst-31217	142	4	guo	guo	PROPN
ajst-31217	142	5	yanhao	yanhao	PROPN
ajst-31217	142	6	,	,	PUNCT
ajst-31217	142	7	do	do	AUX
ajst-31217	142	8	jie	jie	PROPN
ajst-31217	142	9	,	,	PUNCT
ajst-31217	142	10	xiang	xiang	PROPN
ajst-31217	142	11	zilin	zilin	PROPN
ajst-31217	142	12	,	,	PUNCT
ajst-31217	142	13	et	et	PROPN
ajst-31217	142	14	al	al	PROPN
ajst-31217	142	15	.	.	PUNCT
ajst-31217	142	16	evaluation	evaluation	NOUN
ajst-31217	142	17	of	of	ADP
ajst-31217	142	18	landslide	landslide	NOUN
ajst-31217	142	19	susceptibility	susceptibility	NOUN
ajst-31217	142	20	of	of	ADP
ajst-31217	142	21	wenchuan	wenchuan	PROPN
ajst-31217	142	22	co	co	PROPN
ajst-31217	142	23	-	-	ADJ
ajst-31217	142	24	seismic	seismic	ADJ
ajst-31217	142	25	landslide	landslide	NOUN
ajst-31217	142	26	based	base	VERB
ajst-31217	142	27	on	on	ADP
ajst-31217	142	28	gradient	gradient	ADJ
ajst-31217	142	29	boosting	boost	VERB
ajst-31217	142	30	decision	decision	NOUN
ajst-31217	142	31	tree	tree	NOUN
ajst-31217	142	32	and	and	CCONJ
ajst-31217	142	33	random	random	ADJ
ajst-31217	142	34	forest	forest	NOUN
ajst-31217	142	35	with	with	ADP
ajst-31217	142	36	optimised	optimise	VERB
ajst-31217	142	37	negative	negative	ADJ
ajst-31217	142	38	sample	sample	NOUN
ajst-31217	142	39	sampling	sample	VERB
ajst-31217	142	40	strategy	strategy	NOUN
ajst-31217	143	1	[	[	X
ajst-31217	143	2	j	j	X
ajst-31217	143	3	]	]	X
ajst-31217	143	4	.	.	PUNCT
ajst-31217	144	1	geoscience	geoscience	NOUN
ajst-31217	144	2	bulletin	bulletin	NOUN
ajst-31217	144	3	,	,	PUNCT
ajst-31217	144	4	2024	2024	NUM
ajst-31217	144	5	,	,	PUNCT
ajst-31217	144	6	43	43	NUM
ajst-31217	144	7	(	(	PUNCT
ajst-31217	144	8	03	03	NUM
ajst-31217	144	9	):	):	PUNCT
ajst-31217	144	10	251	251	NUM
ajst-31217	144	11	-	-	SYM
ajst-31217	144	12	265	265	NUM
ajst-31217	144	13	.	.	PUNCT
ajst-31217	145	1	[	[	X
ajst-31217	145	2	4	4	NUM
ajst-31217	145	3	]	]	PUNCT
ajst-31217	145	4	zou	zou	PROPN
ajst-31217	145	5	hang	hang	PROPN
ajst-31217	145	6	,	,	PUNCT
ajst-31217	145	7	jiang	jiang	PROPN
ajst-31217	145	8	yunlu	yunlu	PROPN
ajst-31217	145	9	.	.	PUNCT
ajst-31217	146	1	a	a	DET
ajst-31217	146	2	review	review	NOUN
ajst-31217	146	3	of	of	ADP
ajst-31217	146	4	methods	method	NOUN
ajst-31217	146	5	for	for	ADP
ajst-31217	146	6	selecting	select	VERB
ajst-31217	146	7	robust	robust	ADJ
ajst-31217	146	8	variables	variable	NOUN
ajst-31217	146	9	for	for	ADP
ajst-31217	146	10	high	high	ADV
ajst-31217	146	11	-	-	PUNCT
ajst-31217	146	12	dimensional	dimensional	ADJ
ajst-31217	146	13	linear	linear	ADJ
ajst-31217	146	14	regression	regression	NOUN
ajst-31217	146	15	models	model	NOUN
ajst-31217	146	16	[	[	X
ajst-31217	146	17	j	j	X
ajst-31217	146	18	]	]	X
ajst-31217	146	19	.	.	PUNCT
ajst-31217	147	1	applied	apply	VERB
ajst-31217	147	2	probability	probability	NOUN
ajst-31217	147	3	statistics	statistic	NOUN
ajst-31217	147	4	,	,	PUNCT
ajst-31217	147	5	2024	2024	NUM
ajst-31217	147	6	,	,	PUNCT
ajst-31217	147	7	40	40	NUM
ajst-31217	147	8	(	(	PUNCT
ajst-31217	147	9	01	01	NUM
ajst-31217	147	10	):	):	PUNCT
ajst-31217	147	11	157	157	NUM
ajst-31217	147	12	-	-	SYM
ajst-31217	147	13	181	181	NUM
ajst-31217	147	14	.	.	PUNCT
ajst-31217	148	1	[	[	X
ajst-31217	148	2	5	5	NUM
ajst-31217	148	3	]	]	PUNCT
ajst-31217	148	4	gong	gong	PROPN
ajst-31217	148	5	yue	yue	PROPN
ajst-31217	148	6	,	,	PUNCT
ajst-31217	148	7	luo	luo	PROPN
ajst-31217	148	8	xiaoqin	xiaoqin	PROPN
ajst-31217	148	9	,	,	PUNCT
ajst-31217	148	10	wang	wang	PROPN
ajst-31217	148	11	dianhai	dianhai	PROPN
ajst-31217	148	12	,	,	PUNCT
ajst-31217	148	13	et	et	PROPN
ajst-31217	148	14	al	al	PROPN
ajst-31217	148	15	.	.	PUNCT
ajst-31217	148	16	gradient	gradient	ADJ
ajst-31217	148	17	boosting	boost	VERB
ajst-31217	148	18	regression	regression	NOUN
ajst-31217	148	19	tree	tree	NOUN
ajst-31217	148	20	-	-	PUNCT
ajst-31217	148	21	based	base	VERB
ajst-31217	148	22	travel	travel	NOUN
ajst-31217	148	23	time	time	NOUN
ajst-31217	148	24	prediction	prediction	NOUN
ajst-31217	148	25	for	for	ADP
ajst-31217	148	26	urban	urban	ADJ
ajst-31217	148	27	roads	road	NOUN
ajst-31217	149	1	[	[	X
ajst-31217	149	2	j	j	X
ajst-31217	149	3	]	]	X
ajst-31217	149	4	.	.	PUNCT
ajst-31217	150	1	journal	journal	PROPN
ajst-31217	150	2	of	of	ADP
ajst-31217	150	3	zhejiang	zhejiang	PROPN
ajst-31217	150	4	university	university	PROPN
ajst-31217	150	5	(	(	PUNCT
ajst-31217	150	6	engineering	engineering	NOUN
ajst-31217	150	7	edition	edition	NOUN
ajst-31217	150	8	)	)	PUNCT
ajst-31217	150	9	,	,	PUNCT
ajst-31217	150	10	2018	2018	NUM
ajst-31217	150	11	,	,	PUNCT
ajst-31217	150	12	52	52	NUM
ajst-31217	150	13	(	(	PUNCT
ajst-31217	150	14	03	03	NUM
ajst-31217	150	15	):	):	PUNCT
ajst-31217	150	16	453	453	NUM
ajst-31217	150	17	-	-	SYM
ajst-31217	150	18	460	460	NUM
ajst-31217	150	19	.	.	PUNCT
ajst-31217	151	1	[	[	X
ajst-31217	151	2	6	6	NUM
ajst-31217	151	3	]	]	PUNCT
ajst-31217	151	4	nie	nie	PROPN
ajst-31217	151	5	hu	hu	PROPN
ajst-31217	151	6	,	,	PUNCT
ajst-31217	151	7	wu	wu	PROPN
ajst-31217	151	8	xiaoyan	xiaoyan	PROPN
ajst-31217	151	9	.	.	PUNCT
ajst-31217	152	1	a	a	DET
ajst-31217	152	2	study	study	NOUN
ajst-31217	152	3	of	of	ADP
ajst-31217	152	4	factors	factor	NOUN
ajst-31217	152	5	influencing	influence	VERB
ajst-31217	152	6	depression	depression	NOUN
ajst-31217	152	7	combining	combine	VERB
ajst-31217	152	8	gradient	gradient	NOUN
ajst-31217	152	9	boosting	boost	VERB
ajst-31217	152	10	tree	tree	NOUN
ajst-31217	152	11	algorithm	algorithm	NOUN
ajst-31217	152	12	and	and	CCONJ
ajst-31217	152	13	interpretable	interpretable	ADJ
ajst-31217	152	14	machine	machine	NOUN
ajst-31217	152	15	learning	learning	NOUN
ajst-31217	152	16	model	model	NOUN
ajst-31217	152	17	shap	shap	PROPN
ajst-31217	153	1	[	[	X
ajst-31217	153	2	j	j	X
ajst-31217	153	3	]	]	X
ajst-31217	153	4	.	.	PUNCT
ajst-31217	154	1	data	datum	NOUN
ajst-31217	154	2	analysis	analysis	NOUN
ajst-31217	154	3	and	and	CCONJ
ajst-31217	154	4	knowledge	knowledge	NOUN
ajst-31217	154	5	discovery	discovery	NOUN
ajst-31217	154	6	,	,	PUNCT
ajst-31217	154	7	2024	2024	NUM
ajst-31217	154	8	,	,	PUNCT
ajst-31217	154	9	8	8	NUM
ajst-31217	154	10	(	(	PUNCT
ajst-31217	154	11	03	03	NUM
ajst-31217	154	12	):	):	PUNCT
ajst-31217	154	13	41	41	NUM
ajst-31217	154	14	-	-	SYM
ajst-31217	154	15	52	52	NUM
ajst-31217	154	16	.	.	PUNCT